skills of a research scientist

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Research Scientist skills for your resume and career

One of the most important hard skills required to be a research scientist is data analysis. Data analysis is a crucial skill because it helps make sense of scientific research. Research scientists also need to have the hard skill of knowledge of procedures and the potential ability to train others on these procedures.

On the other hand, the soft skills that are crucial for a research scientist are curiosity, organizational skills, and a strong sense of interpersonal skills. As Rev. Grace Song , the Won Buddhist Studies Department Chair at Won Institute, so aptly puts it, "Clear communicator, good time management skills, ability to resolve conflicts, self-aware, values collaboration" are all soft skills every research scientist should possess.

15 research scientist skills for your resume and career

Python is a popular programming language used by researchers to analyze and visualize data. Research scientists use Python to automate data processing, integrate with other software, and script data analysis pipelines. They also use Python to fit algorithms to data and implement machine learning techniques. As Dr. Joey Neilsen , Assistant Professor at Villanova University, puts it, "Our students take a year of Computational Physics in Python, and we integrate Python into some of our upper-level courses and labs as well."

• Created open-source data analysis and visualization package in Python.
• Coded a class that integrated OpenGL with Python and C++ to simulate chaotically dynamic system.

2. Data Analysis

Data analysis is the process of examining and interpreting data to draw conclusions. Research scientists use data analysis extensively, including coordinating tests, collecting data, and conducting operational tests. They also use data analysis software to analyze human genome sequence data. They perform data analysis to generate specific analysis reports for various material samples, and they collaborate with other programs to monitor and analyze data. As Jay Tischfield , Executive Director at Rutgers University's Department of Genetics, puts it, "Computational and data analysis skills are crucial for quantitative analysis of biological data."

• Worked extensively with data analysis/interpretation and presentation.
• Coordinated associated test-planning, developed test planning documents, conducted operational tests, conducted data analysis, and developed reporting documents.

3. Patients

Patients are individuals who receive medical care or treatment. Research scientists use patients in various ways, such as studying blood cell formation and function, identifying disease-specific antibodies, and transcribing patients' interviews. They also use patients to investigate medical device implants, develop new cancer drugs, and analyze PET data for Parkinson's disease patients. As Bart Elmore , Associate Professor of Environmental History at Ohio State University, puts it, "I'm not sure people think of history this way, but the truth is, knowing how to digest historical data and translate it into useful information that can help guide decisions in the present is what historians do."

• Participated in laboratory and clinical research designed to provide clinically-relevant insights into blood cell formation and function in cancer patients.
• Developed a computer-based patient model to identify high risk, early intervention patients and reduce medical costs.

C++ is an object-oriented programming language used for developing applications, systems software, and games. Research scientists use C++ to simulate the mechanical behavior of composites, analyze large data volumes, and create software for monitoring performance. They also use C++ to develop ML algorithms for various purposes and to create software for physics data statistical analysis.

• Implemented C++ capabilities to simulate the effective mechanical behavior of rubber-metal composites within an in-house Finite Element software.
• Performed extensive waveform analysis using C++ to characterize light sensor performance that led to defining detector design requirements.

5. Research Projects

Research projects are original investigations that add to scientific knowledge. Research scientists use research projects to evaluate the efficacy of technology-based interventions, develop biological assays for cancer research, and identify and establish clinical collaborations. They design and perform primary research projects, provide technical support and training, and develop statistical analysis strategies. They also supervise intern students, laboratory technicians, and undergraduate students in their research projects.

• Dedicated to continued enhancement of leadership competencies, problem solving, independent evaluation of scientific data for basic research projects.
• Identified and established novel clinical collaborations with academic centers, researchers and physicians that could support research projects.

6. Chemistry

Chemistry is the scientific study of the composition, structure, and properties of substances and the transformations they undergo. Research scientists use chemistry to develop new synthetic pathways to complex molecular targets, monitor water chemistry, and perform scientific experiments in a chemical research setting. They also utilize biochemical assays and isolation chemistry techniques to identify drugs for use in drug discovery programs. As Dr. Richard Knight Ph.D. , a Teaching Professor and Associate Department Head at Drexel University, puts it, "A significant number of MSE majors do, however, pursue a broad range of minors in addition to their MSE major. Popular minors include ... Chemistry."

• Process Chemistry Safety Steward/Safety Mentor/E-Team member
• Specialized in synthetic methodology, chemistry optimization, and the development of new synthetic pathways to complex molecular targets.

Choose from 10+ customizable research scientist resume templates

Java is a programming language that allows developers to create interactive computer and mobile applications. Research scientists use Java for a variety of purposes. They use it to develop graph analysis algorithms, implement network vulnerability removal and hardening, and create Internet image commerce systems. They also use it to design and develop interactive network topology layout tools and Solar Power Forecasting systems.

• Developed the camera take detection service via java and integrated it into an automatic video object annotation system utilizing social cues.
• Research Scientist Worked with the Java Tools research group designing advanced interactive programming and visualization tools; explored agent-based component architectures.

8. Molecular Biology

Molecular biology is the study of the structure, function, and interactions of biological molecules like DNA and proteins. Research scientists use molecular biology to study the genetic and molecular mechanisms underlying various biological processes. They design and execute experiments, analyze data, and collaborate with other experts to advance our understanding of biological systems. According to Darrell Fry , Associate Professor at Stephen F. Austin State University, "Earning a degree from an University that takes time and effort to be accredited by either the American Chemical Society (ACS) and/or the American Society for Biochemistry and Molecular Biology(ASBMB) ensures the graduate will have marketable skills."

• Created/established molecular biology laboratory within department.
• Design and execute molecular biology and biochemistry studies to support project objectives with minimal direct supervision from Research Director.

9. Data Collection

Data collection is the process of gathering information from various sources. Research scientists use data collection to identify and determine methods, procedures, and techniques that support research design. They also participate in data collection by coordinating study sites, administering research instruments, and conducting qualitative interviews. Data collection is an essential part of research, as it allows research scientists to analyze and interpret data and monitor the progress of their projects.

• Identified and determined methods, procedures, and techniques to support research design; identified and recommended data collection methodology.
• Participate in data collection, including coordination of study sites, administration of research instruments, and conducting qualitative interviews.

10. Cell Culture

Cell culture is a laboratory technique used to grow cells outside of an organism. Research scientists use cell culture to study cells and their behavior, develop new therapies, and test the effects of different substances on cells. They isolate and prepare primary cells, like T-cells, and perform cell culture to develop personalized therapies. They also create standard operating procedures for mammalian cell culture and viral antigen production, and optimize cell culture conditions for antibody expression and purification. They use automated cell culture robotics to improve efficiency and practice aseptic techniques to maintain clean environments.

• Conducted isolation and preparation of primary cells including T-cell and performed primary cell culture for developing personalized therapies.
• Created and implemented standard operating procedures on mammalian cell culture and viral antigen production.

11. TensorFlow

TensorFlow is a popular open-source machine learning library. Research scientists use TensorFlow to develop neural networks for tasks like document classification. For example, one research scientist used TensorFlow to develop a convolutional neural network sentence classifier.

• Project: Convolutional Neural Network for document classification (2016.10-2017.1) - Develop a convolutional neural network sentence classifier using Tensorflow.

12. Visualization

Visualization is the process of creating a visual representation of data or information. Research scientists use visualization to help them analyze and understand large data sets. They use software such as Tableau, Matlab, and IDL to create visually appealing graphs and charts that help them identify trends and patterns in the data. This allows them to make more informed decisions and draw conclusions about their research.

• Research includes developing robust and adaptive systems for computer-aided analysis and visualization with machine learning and image processing/computer vision approaches.
• Manage the development of innovative visualization and concept mapping of contested environment analysis challenges and analyst skill sets.

13. Excellent Interpersonal

Excellent interpersonal skills are crucial for research scientists. They use these skills to interact with diverse populations and create a comfortable environment when conducting research. Research scientists also use their excellent interpersonal skills by interacting with various departments within research facilities.

• Utilized excellent interpersonal and empathetic skills while interacting with a diverse population, creating a comfortable environment.
• Team oriented professional with excellent interpersonal and communication skills.

14. Laboratory Equipment

Laboratory equipment refers to tools and instruments used for conducting experiments and procedures in a laboratory. Research scientists use laboratory equipment to perform a wide range of tasks, such as measuring and analyzing data, conducting experiments, and maintaining supplies. They also supervise and train others on how to operate this equipment, troubleshoot issues, and perform routine maintenance. As a research scientist, laboratory equipment plays a crucial role in conducting research and advancing scientific knowledge.

• Managed maintenance/upgrades of laboratory equipment.
• Supervised and trained post-doctorate fellows, students and lab assistants to perform general laboratory techniques and operate laboratory equipment.

15. Experimental Design

Experimental design refers to the process of creating a plan for data collection. Research scientists use experimental design to manage the day-to-day operations of critical projects and perform advanced analysis. They also use it to optimize product development and marketing decisions by applying statistical analysis to laboratory and consumer research. As Dr. Bobby Burkes , Interim Department Head/Professor at Grambling State University, puts it, "The ability to communicate (convey and express ideas) in a direct and remote setting is becoming an essential asset. The ability interact with and possibly develop simulations of experimental design and process flow paths are also technical skills that are in demand in most industries."

• Managed investigations from incident to CAPA closure including experimental design, collaboration with team members, and organizing and reporting results.
• Contributed scientific expertise to critical projects, manage the day-to-day operations of those initiatives and perform advanced analysis and experimental design.

12 Research Scientist Resume Examples

Build a professional research scientist resume in minutes. Browse through our resume examples to identify the best way to word your resume. Then choose from 12 + resume templates to create your research scientist resume.

What skills help Research Scientists find jobs?

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What type of skills will young Research Scientists need?

Professor, Pharmacology & Toxicology; Professor, Obstetrics & Gynecology, Wright State University

What soft skills should all Research Scientists possess?

Alexandra (Sasha) Ormond Ph.D.

Associate Professor of Chemistry, Director of Dual Degree Engineering, Meredith College

What hard/technical skills are most important for Research Scientists?

What skills stand out on research scientist resumes, what research scientist skills would you recommend for someone trying to advance their career.

Assistant Department Chair, Geology, Auburn University

List of research scientist skills to add to your resume

The most important skills for a research scientist resume and required skills for a research scientist to have include:

• Data Analysis
• Research Projects
• Molecular Biology
• Data Collection
• Cell Culture
• Visualization
• Excellent Interpersonal
• Laboratory Equipment
• Experimental Design
• Statistical Analysis
• Flow Cytometry
• Prototyping
• Product Development
• Research Findings
• Technical Reports
• Drug Discovery
• Next-Generation Sequencing
• Method Development
• Analytical Methods
• Distributed Computing
• Clinical Trials
• Cell-Based Assays
• Western Blotting
• Technical Support
• Emerging Technologies

Updated February 16, 2024

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Research Scientist Related Skills

• Assistant Research Scientist Skills
• Associate Scientist Skills
• Chemist Skills
• Graduate Research Student Skills
• Postdoctoral Associate Skills
• Postdoctoral Research Associate Skills
• Research And Development Scientist Skills
• Research Associate Skills
• Research Chemist Skills
• Research Fellow Skills
• Research Internship Skills
• Research Laboratory Technician Skills
• Research Specialist Skills
• Research Technician Skills
• Researcher Skills

Research Scientist Related Careers

• Assistant Research Scientist
• Associate Scientist
• Graduate Research Student
• Postdoctoral Associate
• Postdoctoral Research Associate
• Research And Development Scientist
• Research Associate
• Research Chemist
• Research Fellow
• Research Internship
• Research Laboratory Technician
• Research Specialist
• Research Technician

Research Scientist Related Jobs

• Assistant Research Scientist Jobs
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Research Scientist Jobs By Location

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How to Become a Research Scientist

Industry Advice Science & Mathematics

Professionals with a background in biotechnology can choose to pursue many lucrative careers . One of the most common choices is to become a research scientist. These individuals work in drug and process development, consistently conducting research and performing experiments to help move the biotechnology industry forward. 

“At the highest level, a research scientist is somebody who can design and execute experiments to prove or disprove a hypothesis,” says Jared Auclair , director of the biotechnology and bioinformatics programs at Northeastern. “Within the world of biotechnology, that can mean a number of different things, from creating new drugs to improving the process of how we make a drug.”

Professionals in this industry are often drawn to the wide array of applications of this work, as well as the consistently positive career outlook. The average salary of a biotechnology research scientist is $85,907 per year, with plenty of opportunities for increased salary potential depending on specializations, location, and years of experience. 

These factors—alongside the growing demand for advancement in biotechnology over the last few decades—have led many aspiring biotechnologists to consider a career in research science. Below we offer five steps professionals can take to kick-start a career in this field.

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5 Steps to Become a Research Scientist

1. acquire the necessary technical skills..

According to Auclair, there are four main applications of research science within the biotechnology field:

• Molecular Biology
• Process Science
• Biochemistry
• Analytical Biotechnology

Professionals hoping to pursue a career in research science must begin by deciding which of these four areas is the best fit for their interests and backgrounds. They must then acquire the specific skill sets they need to excel in that area. 

Below, Auclair breaks down some of the key skills and knowledge required within each of these specializations:

• Molecular biologists should focus on developing a complex understanding of DNA and learn how to do a Polymerase Chain Reaction alongside other DNA-related experiments. 
• Process scientists must understand cell biology and how to work with living mammalian cells, as well as how to perform analytical experiments using mass spectrometry and other analytical tools.
• Biochemists should focus on obtaining the skills necessary to make a protein drug, including the expression and purification of proteins.
• Analytical biotechnicians must become comfortable with techniques like mass spectrometry—a process that uncovers what drug products are at a molecular level.

One efficient way aspiring research scientists can obtain these specific skill sets is to pursue a master’s degree in biotechnology at a top university like Northeastern. 

“The biotech program is designed in collaboration with industry so that we’re meeting their needs,” Auclair says. “This includes training students with the skills they need to be a successful research scientist.”

The curriculum of Northeastern’s program explores the core competencies required to excel in the general biotechnology field and provides students with the unique subsets of skills they need to specialize in a specific area of research science. Students can even declare one of 10 industry-aligned concentrations, including options that directly relate with these common research science roles.

“Especially in industry, most people who are doing research science—who are actually doing the experiments and helping think about experiments with some of the senior leaders in the company—are people with a master’s degree,” Auclair says.

2. Become a critical thinker.

Alongside honing technical skills, Auclair says that critical thinking abilities are key for aspiring research scientists. 

“It’s important to become a critical thinker and a problem solver, and to challenge yourself wherever you can to step outside of your comfort zone,” Auclair says. 

Though critical thinking is a common requirement among most professional career paths, it is especially important for research scientists, who are constantly tasked with innovating and thinking creatively to solve problems.

Northeastern’s master’s in biotechnology program is designed to help students grow in this regard. “Everything we do within the program is geared [toward] making you a critical thinker and a problem solver,” Auclair says. “We try to define classes and assessments to make you think, [and] we also hire most of the faculty in our program directly from the industry, so they bring with them real-world experience that they can talk about with the students.”

These real-world case studies are a core component of Northeastern’s approach to learning, and they help prepare students to think critically about their work. By bringing this exposure into the classroom, students also graduate better prepared to tackle current industry challenges and adapt to evolving trends .

3. Hone your “power skills.”

It’s no longer enough for research scientists in biotechnology to have obtained the technical skills needed to complete their work. Today, many employers require an array of industry-specific “power skills”—previously known as “soft skills”—among candidates for research science roles.

Below we explore the top three “power skills” for biotechnology research scientists:

• Communication: As a research scientist, “you must be able to communicate scientific information to both technical and non-technical people,” Auclair says. For this reason, professionals should work to hone their verbal and written communication styles, focusing specifically on the variances in each depending on which audience they’re interacting with.
• Presentation Ability: Research scientists must be able to present their findings clearly and concisely to a variety of different audiences, ranging from fellow scientists to investors to C-suite executives. Research scientists must be comfortable in front of a group and know how to speak about their experiments and conclusions in an engaging and informative way.
• Teamwork: Although one might think a research scientist’s work is very siloed, today’s professionals must be very comfortable working with others in a lab environment. They must become comfortable sharing ideas, providing feedback to others in their cohort, and tweaking their experiments based on contributed findings.

Northeastern offers students the chance to explore each of these core “power skills” during their time within the master’s in biotechnology program. For example, the university offers countless opportunities for students to collaborate with and present to classmates, instructors, and even industry-leading organizations through Northeastern’s experiential learning opportunities, giving them the chance to apply these skills in both classroom and real-world situations early on.

Learn More: How to Become a Biotechnologist: Build Your Soft Skills

4. Obtain hands-on experience.

One of the most effective ways an aspiring research scientist can prepare for a career in this field is to obtain experiences working in a real lab. While finding these kinds of opportunities can be difficult for those just breaking into the field, programs like Northeastern’s MS in biotechnology bake hands-on learning directly into the curriculum. 

“Students do essentially four to six months [working in the] industry, and put what they learn in the classroom…into practice,” Auclair says.

These opportunities, known as co-ops , provide students with the chance to work within top organizations in the industry and explore the real-world challenges of the field from inside a functioning lab.

Did You Know: Northeastern’s program provides students with exposure to the tools and equipment used within labs in the industry. This access to cutting-edge technology reduces the learning curve and allows students to dive into their work as soon as they graduate.

Another unique way Northeastern provides hands-on experience is through Experiential Network (XN) Projects . Students who participate in these projects are typically paired with a sponsor from an active biotech company that has a real-world problem they need to solve. Then, “under the guidance of a faculty member, students spend the semester trying to come up with solutions to that problem,” Auclair says. “It’s all student-driven.”

Hands-on learning opportunities like these give students a competitive advantage when it comes to applying for jobs. “The experiential learning piece [of our program] is what has our students actually stand out above others in the field,” Auclair says, because employers like to see that their candidates are capable of applying their skills in a real-world environment. 

5. Grow your network.

Research shows that 85 percent of all jobs today are filled through networking, making it more important than ever for professionals across industries to invest time and energy into building these vital relationships.

Professionals hoping to establish a career as a research scientist are no exception. These individuals should aim to develop connections with organizations and individuals within the greater biotech industry early on in their careers, and use those relationships to help carve their path forward.

Northeastern’s master’s in biotechnology program has strategically created many great opportunities for students to network throughout their time in the program. They are encouraged to build relationships with their classmates, guest speakers, faculty, and even the industry leaders they meet through co-ops and XN projects. As a result, they establish various impactful connections with individuals at different stages in their careers, all before they graduate.

Learn More: Networking Tips for Scientists

Another way Northeastern’s program supports networking is through opportunities for student/faculty collaboration. “We encourage our students to interact with our own faculty who are research scientists as much as possible, whether that’s volunteering in their lab or finding a half an hour to talk to them about what they’re doing,” Auclair says. “We want our students to be exposed to as many research scientists as possible while they’re in the program.”

Take the Next Step

Pursuing a master’s degree in biotechnology from a top university like Northeastern is a great way for aspiring research scientists to break into the field. Students in these programs can hone related skill sets, grow their professional networks, and experience hands-on learning, all while pursuing graduate-level education. 

Learn more about how a master’s in biotechnology can set you up for success as a research scientist on our program page , then get in touch with our enrollment coaches who can help you take the first step.

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What do research scientists do.

Wondering what the job is really like for research scientists?

You've come to the right place.

Keep reading to find detailed information about what research scientists do, including the type of work they are tasked with on a daily basis, industries in which they work, and the specific skills needed for a successful career.

Research Scientists Overview & Description

Let's get started with the basics about research scientists by taking a look at a simple description and popular job titles.

Research Scientists conduct research into fundamental computer and information science as theorists, designers, or inventors. Develop solutions to problems in the field of computer hardware and software.

Popular Job Titles For Research Scientists

Sample of reported job titles.

• Computer Scientists
• Machine Learning Scientists
• Staff Scientists
• Computational Scientists
• Research Engineers
• Computer Vision Scientists
• Machine Learning Research Scientists
• Research Scientists
• Applied Scientists
• Big Data Analysts
• Cybersecurity Research Scientists
• Artificial Intelligence/Machine Learning Engineers

Read on for insight into the industries where the highest concentration of jobs for research scientists can be found.

Best Industries for Research Scientists

Research scientists jobs by industry.

• Federal Government, Civilian: 31.1%
• Computer Systems Design and Related Services: 28.9%
• Scientific Research and Development Services: 17.4%
• Education and Hospitals (State Government): 4.2%
• Web Search Portals, Libraries, Archives, and Other Information Services: 3.5%
• Software Publishers: 2.9%

When it comes to jobs in the United States, the largest single category of research scientists can be found working in the Federal Government, Civilian sector. In 2022, about 31.1% of all jobs for research scientists were found there.

Other top industries by percentage include Computer Systems Design and Related Services (28.9%), Scientific Research and Development Services (17.4%), Education and Hospitals (State Government) (4.2%), Web Search Portals, Libraries, Archives, and Other Information Services (3.5%) and Software Publishers (2.9%).

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Degree Options for Research Scientists

Learn to translate business requirements into robust yet functional software applications and database designs to help businesses not only run but thrive, and jump start your career as a user support specialist, computer system analyst, or software developer.

• Class Type: 100% online
• Cost Per Credit: $398

Equip yourself for a role as an IT, network or help desk specialist with fundamental technology skills, including medium-scale network administration, small website and application development, and database design and querying.

Go beyond basic programming and develop the technical skills necessary to apply, design, and implement software systems.

Bridge the gap between business and technology and develop the interpersonal skills to become an IT liaison in your organization.

Harness the power of data by creating data-driven strategies and communicating data insights with a B.S. Information Systems-Analytics Focus.

Develop your ability to lead, communicate and make strategic decisions that impact projects and processes with a B.S. Information Systems-Business Analysis & Project Management Focus

Build technical savvy and business acumen that bridges the gap between business and technology with a B.S. Information Systems with a Business Information Systems focus.

Get the knowledge to manage healthcare data, navigate regulations and inform ethical decision-making with a B.S. Information Systems-Healthcare Information Systems Focus

Play a vital role in any business environment by designing and implementing mission-critical infrastructure, security, and servers.

Develop the advanced technical skills needed to turn complex programming specifications into well-designed computer programs.

• Class Type: Face-to-face, Online coursework
• Placement Tests: GMAT/GRE not required for admission

Deliver high-quality software that helps companies and organizations maintain data security and integrity with Franklin’s 20-month online M.S. in Computer Science with a focus in Cybersecurity.

• Months To Complete: 20

Learn to create scalable software systems that Improve organizational effectiveness and efficiency by earning Franklin’s 20-month online M.S. in Computer Science with a focus in Software Systems. The hands-on, theory-to-practice program will prepare you to be an asset in a variety of industries

Earn your M.S. in Information Technology degree 100% online in as few as 16 months.

• Months To Complete: 16

Earn your M.S. in Information Technology degree with a focus in Data Analytics 100% online in as few as 16 months.

Earn your M.S. in Information Technology degree with a focus in Healthcare 100% online in as few as 16 months.

Earn your M.S. in Information Technology degree with a focus in IT Leadership 100% online in as few as 16 months.

Earn your M.S. in Information Technology degree with a focus in IT Management 100% online in as few as 16 months.

Earn your M.S. in Information Technology degree with a focus in Learning Technology 100% online in as few as 16 months.

Certificates & Microcredentials for Research Scientists

Start your cloud computing journey with AWS certificate courses for beginners and keep up with the fast pace of innovation.

• Class Type: 100% Online
• Time To Complete: 1-2 months
• Cost: $35/month

This DeepLearning AI certificate course lets you dive into the cutting-edge world of AI specialization, machine learning and data-driven solutions.

• Time To Complete: 3-4 months

In-demand programmers know Git. You can, too, with GitHub certificate courses that put you among the ranks of other Git certification-ready development pros.

Fast track your IT career with the Google IT support training and certificate that helps you learn about network protocols, operating systems, and solving problems using code.

• Time To Complete: 4-5 months

Put your creativity to work with these Google UX design courses that equip you to build and test user-centered solutions and to use Google Analytics to improve usability.

Develop practical skills in Python and IBM applied AI thanks to deep learning courses that show you how to design, build and deploy AI-powered apps.

Build your cloud developer portfolio with this hands-on IBM full stack cloud developer certificate course that uses the latest tools and technologies to manage full stack cloud native apps.

• Time To Complete: 5-6 months

What Do Research Scientists Do on a Daily Basis?

So you have a high-level understanding of what research scientists do and the types of industries in which they work - but what do they really do each day?

A great way to understand the type of work research scientists do is to examine actual job postings and focus on the specific skills that employers are seeking. That will help paint a clearer picture of the tasks that research scientists tackle each day.

Continue reading for a breakdown of specialized skills found in job postings for research scientists, as well as common skills - interpersonal qualities and attributes - that can help you thrive in the workplace.

In-Demand Skills for Today's Research Scientists Based on 15,896 job postings

Top 5 specialized skills for research scientists, top 5 common skills for research scientists.

Based on 15,896 job postings related to research scientists, computer science was the top specialized skill sought by employers, with 42% of all postings looking for that skillset. Skills for python (programming language), machine learning, algorithms, data analysis and c++ (programming language) were also highly sought.

As for common skills, research was the most desired skill found in job postings for research scientists, followed by communications, mathematics, innovation, writing and leadership.

Most In-Demand Jobs for Research Scientists

Top 5 posted job titles.

Expand the section below to see unique job postings for all occupations related to research scientists.

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About This Data

The Best Adult Colleges & Careers Guide is sponsored by Franklin University, a nonprofit, accredited institution. The guide uses 2022 information from Lightcast™ to provide data on dozens of in-demand jobs.

Job titles used in government data may differ slightly from the job title on this page, so the closest matching government job classification may be used as a proxy to present data here.

On this page, data corresponds to the following occupational classification: Computer and Information Research Scientists.

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EMBL Careers

A life science careers blog for early career researchers

This blog aims to inspire early career researchers exploring different career options. We provide interview-based profiles of life scientists working in diverse science-related careers and articles on a broad range of career-related topics, with new content added on a regular basis.

Rachel Coulthard-Graf

2 March 2022

Category: Articles Skills and competencies

Tags: languages , skills , survey results

Skills for a scientific career

Several studies have shown that the skills developed during early career research training are relevant for careers in academia, industry R&D and many other areas. These studies generally focus on a range of skills and, for each skill, compare the level of skill needed in the current role to the level to which this skill was acquired during the PhD (see e.g. here or here ).

To add to this existing data, and aid evidence-based career guidance for life scientists, the EMBL Fellows’ Career Service launched a survey at the end of 2020 focused on what competencies [knowledge and behaviours] are used most by (former) life scientists working in a wide range of academic and non-academic careers. There were two major aims of the survey. Firstly,  to validate a competency framework focused on ‘classical’ research careers; and secondly to map a modified version of the framework to other career areas and help scientists to identify careers that match their strengths.

We received 350 responses including researchers in a range of academic (120 responses) and industry R&D (38 responses) roles; as well as over 220 scientists working in a diverse array of non-research roles from clinical trial management to technology transfer.

As outlined below, in these responses we did see differences in the competencies selected from respondents working in different career areas, with some statistically significant differences evident between the most well-represented careers (e.g. group leader roles in academia and industry).

Updated summary of responses

UPDATE: Following an additional call for non-research responses when we released this post in 2022, we now have 452 responses to our survey (126 from a range of PI and non-PI academic roles; 63 from early career researchers; 44 from industry R&D; and 282 from non-research roles) – a more detailed analysis of the 452 responses are summarized in a document here .

Most commonly used competencies

Respondents were asked to select a maximum of six competencies that they use most in their role. They could select from a list of 17 competencies. This set of competencies was identified through interviews with EMBL group leaders in the frame of ‘classical’ research careers and can be seen in Figure 1.

For respondents in non-research-group-leader roles, the same 17 competencies were included, but some descriptions were adapted to provide a broader description (e.g. ‘scientific writing’, replaced with simply ‘writing’).

Not unexpectedly, there was a lot of variation in competencies selected, even with the same career area. Several respondents also noted in the comments that they are using many of the competencies they learned as a PhD + postdoc on a daily basis, making choosing just six difficult.

The five most commonly selected competencies for research group leaders (in academia + industry combined) were:

• Mentoring/leadership (selected by 77% of group leaders)
• Clarity of thought (63%)
• Resilient problem solving (50%)
• Broad scientific knowledge (49%)
• Independent thought (47%)

Comparing types of non-research-group-leader roles, we also saw some trends; scientists in science administration & management roles, for example, more frequently selected ‘organization’ as a top competency compared to scientists in other non-group leader roles. Further responses would, however, be needed to confirm the specific trends observed. For scientists who were not working as research group leaders, the top five competencies were:

• Effective communication (selected by 58%)
• Team-work (51%)
• Organization (48%)
• Broad scientific knowledge (41%)
• Resilient problem solving (39%)

Language knowledge can be an asset in Europe.

Many academic labs work and publish in English. It is therefore not unusual to find highly mobile early-career researchers working in English-speaking labs in countries where they do not speak the local language. We therefore asked a specific question on language knowledge in the survey.

198 respondents were working in a country where English is not the local language (mostly within Europe). Of those, 48% said that for their role you could get by with just a knowledge of English, 28% needed some knowledge of the local language, and 24% needed to be fluent in the local language.

For those working as academic group leaders, only 18% stated that they needed to be fluent in the local language. The distribution of these respondents implies that there is a lot of variation depending on the individual institution – and that this is likely influenced by the country and type of institution/position. In particular, in some cases, academic group leaders may be expected to teach in the local language. Of the 14 respondents who stated that at least some teaching experience is required to be hired as a junior group leader at their institution, 50% said group leaders need to be fluent in the local language.

Postdoc experience is often seen neutrally for employment outside academia.

Several articles have been published that advise PhDs only to consider a postdoc position if they want to be a group leader (e.g. here , here ).

These articles quite rightfully point out that, for careers where postdoc experience is not required, pursuing a postdoc position will delay your entry into your long-term career and this can have further implications (e.g. lower life-time earnings ). Additionally, some non-academic hiring managers and recruiters tell us that, during the application process, senior postdocs will need more clearly demonstrate their adaptability and motivation to move to a new career area than recent PhD graduates.

Nevertheless, our survey data suggest that postdoc training will, in most cases, not make your CV less attractive, and may even be seen positively in some cases: for the 164 survey respondents not working as a postdoc or research group leader, only 5% said that applicants directly out of the PhD are preferred.  The most common response (45%) was that a postdoc is neither positive or negative, 26% stated that postdoc experience is seen positively for their role. Postdoc experience was considered a requirement for 15% of respondents overall, including for more than 50% of respondents working in academic teaching, in research infrastructure leadership (in academia or industry), and in science publishing.

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Research Scientist Career Guide

• Career guide intro
• How to become
• Career path

Similar job titles

• Trends and outlook
• Career tips
• Where the jobs are

What is a research scientist?

A research scientist is a complex role found in various industries, including, but not limited to, healthcare, academia, environmental science, and technology. They engage in rigorous and methodical exploration in their field of specialty, seeking to develop new knowledge, products, or technology. These professionals contribute significantly to expanding our understanding of the world, leading to breakthroughs in a variety of sectors.

The work performed by research scientists can directly influence new policies, invent lifesaving medicines, contribute toward environmental sustainability, or drive technological developments. Their value revolves around advancements, change, and progress in the scientific community.

Duties and responsibilities

A research scientist is responsible for designing, conducting, and analyzing experiments or research projects. This involves developing research methodologies, recording detailed observations, and interpreting and analyzing data. They also make adjustments to research processes as necessary to achieve optimal results.

Additionally, they present findings in scholarly papers, technical reports, or scientific conferences. They collaborate with industry or business leaders, policy-makers, or nonprofit organizations to apply the results of their research and contribute to writing grant proposals to secure funding.

Work environment

A research scientist typically operates in a laboratory, field, or office setting, depending on their area of professional focus. In laboratories, they use technical equipment, rigorously studying chemicals, biological samples, or physical phenomena. Field scientists may work in varied and often challenging geographical settings, studying environmental organisms or the earth’s physical features. Office-based research scientists pour over data, write reports, and develop computational models.

Their work environment is usually collaborative, as research scientists often work as part of a team of scientists and other professionals. Their workdays are heavily structured around the precise procedural demands of scientific research, and there may be strict deadlines for project milestones or report submissions.

Typical work hours

Research scientists typically work full-time. Similar to other professions, this usually means a 40-hour work week. However, the nature of scientific research may sometimes demand extended working hours. Monitoring ongoing experiments or meeting tight project deadlines may necessitate working late into the evening or even over weekends.

For those working in field research, their schedule can be deeply impacted by the requirements of the study. This may entail early mornings, late nights, or extended periods away from home. Researchers may have additional teaching responsibilities in academic settings that can alter their schedule during the academic year.

How to become a research scientist

This career guide section outlines how to become a research scientist. Preparing yourself for a successful career as a research scientist includes specific steps involving education, hands-on research, and professional advancement.

Step 1: Earn a bachelor’s degree

Begin your journey toward becoming a research scientist with a bachelor’s degree in a related field. This could include biology, chemistry, physics, or another science-related domain. This undergraduate journey will offer a foundational understanding of scientific principles and methods.

Step 2: Acquire laboratory experience

Relevant experience, particularly within a laboratory, is beneficial. This could be gained through undergraduate laboratory courses or internship placements within scientific research labs. Here, you will learn to use scientific apparatus, follow safety protocols, and perform experimental procedures.

Step 3: Pursue a master’s degree

While not always required, a master’s degree in a related field could enhance your qualifications and open up opportunities for higher-level research projects. It’s common for aspiring research scientists to specialize in their area of interest at this stage.

Step 4: Obtain a Ph.D.

A Ph.D. is usually mandatory for most research scientist positions, especially those in academia. This degree involves in-depth research within your chosen field, thereby equipping you with profound knowledge and research expertise.

Step 5: Complete postdoctoral training

After earning a Ph.D., it’s common to undertake postdoctoral training, which involves working on advanced research projects under the supervision of experienced research scientists. It allows you to gain extensive practical experience, sharpen your research skills, and develop a track record of published research—making you more competitive in the job market.

Step 6: Apply for jobs

With a Ph.D. and postdoctoral training under your belt, you’re ready to seek out research scientist positions. Depending on your interest, these jobs can be found in academic institutions, government agencies, or private sector companies dedicated to research and development.

How much do research scientists make?

Research scientist salaries vary by experience, industry, education, location, and organization size. Total compensation is dependent mainly on the field of research, the scope of projects, and the level of impact on scientific advancement.

Highest paying industries

• Pharmaceutical and Medicine Manufacturing – $105,430
• Scientific Research and Development Services – $100,790
• Government – $97,230

Highest paying states

• California – $114,600
• New Jersey – $111,140
• Washington – $103,390
• Connecticut – $97,370
• Texas – $96,150

The average national salary for a Research Scientist is:

Browse research scientist salary data by market

Types of research scientists

This career guide section highlights the various career types and areas of specialization for research scientists. Below, we highlight the unique attributes and responsibilities of each job title.

Industrial research scientist

Working in private sector industries, such as pharmaceutical companies or technology corporations, is something industrial research scientists often do. Their primary role involves conducting experiments or investigations to develop new products, improve existing ones, or explore theoretical advancements.

Academic research scientist

As the name suggests, the professional domain of academic research scientists is the global realm of higher education. They are involved in groundbreaking research projects while performing a broad range of other duties, such as teaching, mentoring students, and writing grant proposals.

Government research scientist

These professionals dedicate their time and effort to projects commissioned by governmental bodies. Their tasks could lead scientists to research public health matters, environmental issues, or national security, helping to inform government policy.

Clinical research scientist

Within the healthcare sector, clinical research scientists play an invaluable role. Their primary responsibilities include designing, implementing, and interpreting the results of clinical trials, all to advance medical understanding and improve patient care.

Field research scientist

Field research scientists take the lead when it comes to outdoor explorations and conducting investigations in natural settings. They are usually involved in geology, biology, or climate science, where extensive fieldwork is integral to their research.

Top skills for research scientists

This section outlines the primary skills and traits needed for career success as a research scientist. The role of a research scientist often requires a combination of technical and soft skills, including analytical ability, communication skills, and teamwork.

Analytical ability

Research scientists need strong analytical abilities to design, conduct, and evaluate experiments using complex statistical analysis. This means they must not only understand the methods and theories behind these experiments, but also be able to interpret and communicate the results in a meaningful way. An analytical mind is vital for examining elements, synthesizing information and draw insightful conclusions.

Communication skills

Communication skills are integral to the role of a research scientist, who must effectively communicate their findings to colleagues, the public, and other stakeholders through both written and oral presentations. Reports, academic papers, presentations at conferences or to investors, and informal discussions require strong communication skills. Explaining complex ideas in a clear and accessible manner is essential.

Often, research is not a solitary endeavor. It involves working in teams made up of diverse disciplines and backgrounds. Thus, being able to work effectively with others is vital. Collaborative and cooperative behavior can significantly improve the efficiency and success of a research team’s efforts.

Problem-solving skills

Unforeseen challenges are often part of research. A good research scientist must be composed and adaptive in the face of problems, frustration, or failure. Their problem-solving aptitude is paramount in creating innovative solutions and continuously pushing the boundaries of their work. They need to be critical thinkers who can evaluate different approaches and find the most effective method to solve problems and answer questions.

Technical skills

A research scientist must possess relevant technical skills, including knowledge in a specific scientific field, laboratory procedures, and the ability to use specialized research tools and equipment. Depending on the scientific discipline, this could involve biotechnology practices, programming capabilities, or advanced statistical tools proficiency. Staying updated with new technologies and tools can significantly assist in more effective and efficient research.

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Research scientist career path

After several years of conducting experiments and research, it’s common to move on to other roles within the scientific community. These will likely still be research-based but with additional responsibilities and leadership.

Becoming a project manager is attainable after gaining relevant work experience. This role involves the management of projects and supervising a team of researchers. It calls for a deeper comprehension of project planning, budgeting, and team coordination. If scientists prefer to advance within their fields without assuming administrative duties, a career in specialized research may present extended opportunities.

Establishing a reputation for proficiency and reliability can lead to an invitation to join a scientific advisory board. On such boards, members provide guidance based on their professional expertise and knowledge of scientific trends. These individuals play a critical role in influencing organizational decisions and directing future investigations.

Those inclined toward teaching could transition into academia, where they can use their skills and knowledge to educate aspiring scientists. Universities and research institutions offer opportunities to divide one’s time between teaching and research, which is a rewarding career route for many.

Becoming an independent consultant is also an avenue for experienced scientists. This involves sharing your expertise with various organizations, often as part of a team formed specifically for a project. This role often demands extensive travel and flexible working hours.

• Data Scientist
• Medical Science Liaison
• Laboratory Analyst
• Quality Analyst
• Computer Scientist
• Biostatistician
• Environmental Scientist

Position trends and outlook for research scientists

Recently, a trend has been leaning toward cross-disciplinary research, where firms merge different study areas to achieve more comprehensive and impactful results. Biotechnology, data science, and artificial intelligence have seen a substantial inflow of research scientists. Also, increased stress on environmental sustainability has led to a surge in demand for research scientists in fields related to climate change, alternative energy sources, and waste management.

The digital revolution has heavily impacted this profession. With the mounting amount of data available, research scientists must be proficient in data analytics tools to handle and interpret large datasets. Technological disruptions require constant up-skilling in digital literacy, making lifelong learning almost mandatory in this profession. Scientists are increasingly conducting and sharing their research online, contributing to the trend of open science, where findings are freely accessible to the public.

Employment projections

According to the Bureau of Labor Statistics, the overall employment of research scientists is projected to grow 21 percent through 2031, significantly faster than the average for all occupations. Increasingly, the workforce is expected to demand higher levels of education and training. With increased public awareness of environmental and public health issues, there will be a boost in demand for professionals in these particular research areas. The role of a research scientist promises potential growth in the future with ample opportunities for career advancement.

Research scientist career tips

Understand the big picture.

As a research scientist, your primary task will involve looking into the finer details of various study areas. It’s essential, however, to regularly take a step back and comprehend the larger implications of your work. Develop a clear perspective of how your research pertains to more significant questions – a practice that will aid you while framing your direction and communicating findings to non-specialists.

Invest time in programming and data analysis

Data interpretation is a significant aspect of research. Familiarize yourself with software such as R, Python, and SQL, which are popular in research. These tools can augment your ability to interpret and visualize complex data, making you a more effective researcher. Continuous learning of trending technological tools can provide a competitive edge in your career.

Become acquainted with writing research grants

Funding is a critical aspect of scientific research. Understanding how to write a compelling research grant proposal that can secure necessary funding is vital for every research scientist. Work on developing this skill early in your career, as it will help you implement your ideas and make you more employable.

Build a professional network

A strong network can open avenues for collaborative projects, provide learning opportunities from various wisdom wells, and even help secure funding. Do not limit your networking to conferences and seminars; take advantage of digital platforms as well.

• American Association for the Advancement of Science (AAAS)
• The National Association of Science Writers (NASW)
• Society for Science & the Public
• American Chemical Society (ACS)
• American Institute of Biological Sciences (AIBS)

Continuous learning

Science is ever-evolving; hence, the learning curve for a research scientist is constant. Stay updated with the latest research techniques, tools, and discoveries in your specialty area. This consistent learning will enhance your skills and progress your career.

• Courses and certifications in data analysis and programming languages
• Participation in seminars and workshops related to your field of research
• Engaging with scientists’ blogs, podcasts, and webinars for the latest research developments
• Taking advantage of every learning opportunity in high-tech lab equipment and software

Where the research jobs are

Top employers.

• Massachusetts

Top job sites

• ResearchGate

What is the primary role of a research scientist?

A research scientist plans and conducts experiments, analyzes data, interprets results, and prepares related reports. The job involves developing and testing theories, using a broad range of methods to gather data, and ensuring the accuracy of their findings.

What skills are important for a research scientist?

A research scientist must possess strong analytical skills, as much of the job involves analyzing data sets and interpreting findings. Other vital skills include problem-solving to aid in forming theories and conducting experiments and written and verbal communication skills for presenting findings to colleagues, stakeholders, or the scientific community.

What competencies are required for a research scientist?

Besides technical expertise, a research scientist needs mastery of scientific methodologies, attention to detail in experiments, and data analysis competencies. The ability to work independently and as part of a team, the flexibility to handle changing priorities, and the capacity to remain updated with scientific advancements are also important.

Do research scientists work in teams?

Yes, research scientists often work in teams to conduct and analyze experiments. Collaborating with other scientists can facilitate complex projects, bring different perspectives, and improve the rigor of results. A team may include other scientists, research associates, lab technicians, and interns.

What level of education is required to become a research scientist?

Generally, a research scientist holds a doctoral degree in their specific field of science. Before pursuing a doctorate, they gain a solid foundation through a bachelor’s degree and often a master’s degree in a related field. Some positions also require postdoctoral experience. However, different fields and organizations can have distinct educational requirements.

What are the long-term career development opportunities for a research scientist?

The career development path for a research scientist can be quite versatile, depending on the area of study. Opportunities can include becoming a senior scientist, a research director, or pursuing an academic career. Some research scientists choose to transition into related roles such as project management, scientific consulting, or even science writing.

What challenges should a research scientist expect in their career?

Research scientists can face several challenges, including securing funding for research projects and competitions for employment and recognition in their field. In addition to these, they often need to stay updated with the latest relevant scientific advancements and be able to adapt to changes in research methodologies. Another common challenge is the time-consuming nature of conducting extensive research and publishing in peer-reviewed journals.

How does work-life balance typically look for a research scientist?

Work-life balance can vary significantly among research scientists, largely depending on their specific role and current projects. While some may experience regular hours, others might work overtime or on weekends, particularly in high-stakes or time-sensitive projects. However, many research institutions and companies are conscious of the need for balance and provide support for flexible working hours and leave policies.

What is the most rewarding aspect of being a research scientist?

Many research scientists find the discovery process the most rewarding aspect of their work. That is, the ability to develop and test hypotheses, analyze data, and contribute to the scientific community and, in some cases, to society as a whole. Additionally, the intellectual challenge and the opportunity to work on cutting-edge technologies and concepts can be deeply fulfilling.

Reviewed and verified by Pete Newsome

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Top 12 Scientist Skills to Put on Your Resume

In the competitive world of scientific research and development, showcasing a unique set of skills on your resume can make a significant difference in landing your dream job. This article outlines the top 12 skills that scientists should highlight to stand out to employers and excel in their careers.

Scientist Skills

• Bioinformatics
• Machine Learning
• Quantum Mechanics
• Nanotechnology

Python is a high-level, versatile programming language widely used in scientific computing for its simplicity, extensive libraries, and strong support for numerical and data analysis tasks.

Why It's Important

Python is important for scientists because it offers a simple syntax, vast libraries for data analysis and visualization (e.g., NumPy, SciPy, matplotlib), and supports various scientific computing needs, making it an accessible and powerful tool for conducting and automating research tasks efficiently.

How to Improve Python Skills

To improve your Python skills as a scientist, focus on mastering data analysis, visualization, and computational modeling. Here's a concise guide:

Learn Scientific Libraries : Dive deep into NumPy for numerical operations, Pandas for data manipulation, and Matplotlib & Seaborn for data visualization.

Practice with Real Data : Apply your skills on real datasets from platforms like Kaggle or UCI Machine Learning Repository to gain hands-on experience.

Understand Machine Learning : Get familiar with Scikit-learn for implementing machine learning algorithms efficiently.

Explore Scientific Python Ecosystem : Delve into SciPy for more advanced computations, and consider learning about Jupyter Notebooks for interactive coding sessions.

Join Python Science Community : Participate in forums like Stack Overflow and attend workshops or conferences like SciPy to stay updated and get support.

Continuous Learning : Follow blogs and tutorials on sites like Real Python to keep learning new tools and best practices in Python.

How to Display Python Skills on Your Resume

R is a programming language and software environment designed for statistical computing and graphics, widely used among scientists for data analysis and visualization.

R is important for scientists because it provides a comprehensive and versatile platform for statistical analysis, data visualization, and modeling, enabling them to efficiently analyze complex datasets and derive insightful conclusions.

How to Improve R Skills

Improving your R skills as a scientist involves a combination of enhancing your coding proficiency, understanding data analysis techniques, and staying updated with the latest developments in the R ecosystem. Here are concise steps with resources to help you:

Master the Basics : Ensure a strong foundation in R syntax and basic programming concepts.

• R for Data Science by Hadley Wickham & Garrett Grolemund teaches data science with R.

Practice Coding : Regular practice helps in understanding the nuances of the R language.

• Exercism’s R Track offers hands-on practice through exercises.

Learn Data Manipulation and Visualization : Master packages like dplyr for data manipulation and ggplot2 for data visualization.

• DataCamp’s Data Manipulation with dplyr and Data Visualization with ggplot2.

Understand Statistical Techniques : As a scientist, applying statistical methods is crucial. Enhance your understanding of statistical models and their implementation in R.

• The R Book by Michael J. Crawley covers a wide range of statistical techniques.

Stay Updated : Follow blogs and forums to stay informed about the latest packages and techniques.

• R-bloggers aggregates content related to R from across the web.

Join a Community : Engage with the R community through forums and social media. Sharing knowledge and asking questions can significantly accelerate your learning.

• RStudio Community is a great place to seek advice and collaborate.

Work on Projects : Apply your skills to real-world projects. This could be data analysis in your field of study or contributing to open-source packages.

• GitHub to find open-source R projects in need of contributors.

Learn Advanced Topics : Once comfortable with the basics, dive into advanced topics like R Markdown for reproducible research, Shiny for interactive web apps, and R packages development.

• R Markdown: The Definitive Guide and Mastering Shiny by Hadley Wickham.

Improving your R skills is an ongoing journey of learning and practice. Leveraging these resources and continuously applying your knowledge to solve real-world problems will significantly enhance your proficiency in R.

How to Display R Skills on Your Resume

MATLAB is a high-level programming language and environment designed for numerical computation, visualization, and application development, widely used by scientists for data analysis, algorithm development, and modeling and simulation of complex systems.

MATLAB is crucial for scientists because it provides a versatile environment for numerical computation, visualization, and algorithm development, enabling efficient data analysis and simulation of complex scientific problems.

How to Improve MATLAB Skills

To improve MATLAB skills, especially for scientists, consider the following concise tips:

• Master the Basics : Ensure a solid understanding of MATLAB fundamentals. The official documentation is an excellent starting point.
• Utilize MATLAB Central : Engage with the MATLAB Central community , where you can find answers, share code, and connect with other users.
• Learn Advanced Data Analysis Techniques : Explore advanced features for data analysis and visualization. The Data Analysis section on MathWorks provides valuable insights.
• Automate Your Workflow : Learn to write scripts and functions to automate repetitive tasks, enhancing efficiency. The Scripting and Automation guide is helpful.
• Parallel Computing : For large data sets and simulations, utilize MATLAB's parallel computing tools. Start with the Parallel Computing Toolbox .
• Attend Webinars and Training : MathWorks offers webinars and training courses covering various topics, from beginner to advanced levels.
• Practice with Real-World Problems : Apply your skills to solve real-world problems in your field. This hands-on approach solidifies learning and uncovers new techniques.

By incorporating these strategies, scientists can significantly enhance their MATLAB proficiency, leading to more efficient and innovative research outcomes.

How to Display MATLAB Skills on Your Resume

SPSS (Statistical Package for the Social Sciences) is a powerful statistical software tool used by scientists for data management, analysis, and visualization, particularly in social science research.

SPSS is important for scientists because it provides a robust platform for statistical analysis and data management, enabling them to efficiently analyze complex datasets, test hypotheses, and derive actionable insights to inform their research.

How to Improve SPSS Skills

Improving your skills in SPSS (Statistical Package for the Social Sciences) as a scientist involves a combination of understanding statistical concepts, mastering the software's functionalities, and staying updated with the latest features and best practices. Here's a concise guide:

Enhance Statistical Knowledge : A strong foundation in statistics is essential. Consider resources like Khan Academy for brushing up on statistical concepts.

Utilize Official SPSS Tutorials : IBM offers SPSS Tutorials that cover various features and functions of the software. These are great for both beginners and experienced users.

Explore Online Courses : Platforms like Coursera and Udemy offer courses specifically designed for mastering SPSS. These courses range from basic to advanced levels.

Join Forums and Communities : Engaging with communities like ResearchGate or the SPSS Community can provide insights, answer doubts, and offer a platform to share knowledge.

Practice Regularly : Like any tool, proficiency in SPSS comes from regular use. Apply your learnings on actual data sets and experiment with different statistical analyses to gain hands-on experience.

Stay Updated : SPSS is regularly updated with new features and functionalities. Keep abreast of these updates through the IBM SPSS Software page.

Read Books and Academic Papers : Many books and academic papers provide specific examples and case studies using SPSS. These can offer deeper insights into the application of SPSS in scientific research.

Leverage YouTube Tutorials : YouTube is a rich resource for learning SPSS. Channels like SPSS Tutorials offer step-by-step guides for various analyses.

By combining these resources, you can significantly improve your SPSS skills, making data analysis more efficient and effective in your scientific research.

How to Display SPSS Skills on Your Resume

SAS (Statistical Analysis System) is a software suite used by scientists for advanced analytics, multivariate analysis, business intelligence, data management, and predictive analytics.

SAS (Statistical Analysis System) is important for scientists because it provides a powerful and versatile environment for data analysis, manipulation, and visualization, enabling them to derive insights from complex datasets, perform advanced statistical analyses, and support decision-making based on empirical evidence.

How to Improve SAS Skills

Improving your SAS (Statistical Analysis System) skills as a scientist involves a combination of understanding the fundamentals, practicing coding, and staying updated with the latest methodologies and tools. Here’s a concise guide:

Master the Basics: Ensure you have a strong foundation in SAS basics, including data manipulation, procedures, and understanding of SAS datasets. SAS Programming 1: Essentials is a good starting point.

Practice Regularly: Apply what you've learned by working on real-world datasets. Websites like Kaggle offer numerous datasets for practice.

Learn Advanced Techniques: Dive into more complex SAS procedures and options to handle sophisticated analyses. Advanced Analytics provides resources for advanced learning.

Stay Updated: The field of data science is always evolving. Follow the SAS Blogs to stay informed about the latest trends and updates in SAS.

Networking and Community: Join forums and communities such as SAS Community to exchange knowledge, solve doubts, and learn from the experiences of others.

Certification: Consider obtaining a SAS certification to validate your skills and knowledge. Check the SAS Certification page for more details.

By systematically working through these steps, you can significantly improve your SAS skills, making your analyses more efficient, robust, and insightful.

How to Display SAS Skills on Your Resume

SQL (Structured Query Language) is a standardized programming language designed for managing and manipulating relational databases, allowing scientists to efficiently query, update, insert, and delete data.

SQL (Structured Query Language) is crucial for scientists as it enables efficient retrieval, manipulation, and analysis of data stored in relational databases, essential for evidence-based research and insights.

How to Improve SQL Skills

Improving your SQL skills, especially as a scientist dealing with data, involves continuous learning and practice. Here are concise tips and resources:

Understand SQL Fundamentals : Start with a solid foundation in SQL basics. W3Schools SQL Tutorial offers a comprehensive introduction.

Practice Regularly : Apply what you've learned by solving real-world problems. LeetCode has a variety of problems to practice.

Learn Advanced Topics : Dive into more complex topics like indexing, stored procedures, and query optimization. The Use The Index, Luke! guide is excellent for understanding indexing.

Analyze Real Datasets : Work with datasets relevant to your field to understand data structures and relationships. Kaggle provides numerous datasets for practice.

Write Clean Code : Learn to write readable, efficient SQL queries. SQL Style Guide by Simon Holywell provides guidelines for writing clean SQL.

Review and Refactor : Always review your SQL queries to see if there are more efficient or clearer ways to achieve the same result.

Join a Community : Engage with other data professionals. Platforms like Stack Overflow and Reddit's r/SQL can offer support and insight.

Stay Updated : SQL and database technologies evolve. Follow blogs and forums related to SQL and database technology to stay up-to-date.

Remember, the key to mastering SQL is consistent practice and the willingness to explore and apply new concepts.

How to Display SQL Skills on Your Resume

Tableau is a powerful and versatile data visualization tool used by scientists and data analysts to transform raw data into interactive and visually appealing charts, graphs, and dashboards for easier analysis and insights.

Tableau is important for scientists because it enables them to visually analyze and communicate complex data findings effectively, facilitating insights discovery and data-driven decision-making.

How to Improve Tableau Skills

Improving your proficiency in Tableau as a scientist involves enhancing data visualization, analysis capabilities, and efficient data management. Here are concise strategies with resources for deep dives:

Master the Basics : Begin with understanding the core functionalities. Tableau's official training videos provide a solid foundation.

Advance Your Skills : Explore advanced analytical functions and visualization techniques. Tableau Public’s Resources offer tutorials and inspiration from community projects.

Integrate Python or R for Advanced Analytics : Utilize Tableau’s ability to integrate with Python (through TabPy) or R for complex computations. Tableau’s documentation on external services can guide you through the process.

Optimize Data Management : Leverage Tableau’s Data Management tools for better efficiency and accuracy. Tableau Prep is a good starting point for cleaning and preparing your data.

Participate in the Community : Engage with the Tableau Community through forums and social media to exchange ideas and solutions. The Tableau Community Forums are incredibly resourceful.

Stay Updated : Tableau’s features are constantly evolving. Regularly check the Tableau Blog for updates, tips, and trends.

By focusing on these areas, you can significantly enhance your Tableau skills, making your data analysis more robust, insightful, and impactful.

How to Display Tableau Skills on Your Resume

8. Bioinformatics

Bioinformatics is the application of computational techniques to analyze, manage, and interpret biological data, particularly genetic and genomic information.

Bioinformatics is crucial for scientists as it enables the analysis, integration, and interpretation of large biological data sets, facilitating discoveries in genetics, molecular biology, and personalized medicine, and accelerating research and development in these fields.

How to Improve Bioinformatics Skills

Improving your skills in bioinformatics as a scientist involves a combination of enhancing your computational skills, staying updated with the latest research, and actively participating in the scientific community. Here are concise steps with resources to guide you:

Strengthen Computational Skills : Familiarize yourself with programming languages commonly used in bioinformatics such as Python and R. Online platforms like Coursera and edX offer courses specifically designed for bioinformatics.

Master Bioinformatics Tools and Software : Gain proficiency in using essential bioinformatics software and databases. The NCBI Handbook provides a comprehensive guide to databases and tools.

Engage with the Latest Research : Stay informed about the latest discoveries by reading journals such as Bioinformatics and Nucleic Acids Research . Preprint servers like bioRxiv are also valuable for accessing the latest research before formal publication.

Participate in Workshops and Conferences : Attend workshops, webinars, and conferences to learn from experts and network with peers. Websites such as EMBL-EBI Training list upcoming events.

Contribute to Open Source Projects : Engage with the bioinformatics community by contributing to open-source projects. Platforms like GitHub host projects where you can collaborate and learn from others.

Seek Mentorship and Collaborate : Find a mentor experienced in bioinformatics and seek opportunities for collaboration. Professional networks like LinkedIn can help you connect with potential mentors and collaborators.

By following these steps and leveraging the provided resources, you can significantly improve your bioinformatics skills and contribute more effectively to the scientific community.

How to Display Bioinformatics Skills on Your Resume

9. Machine Learning

Machine Learning is a subset of artificial intelligence that enables systems to learn and improve from experience without being explicitly programmed, through the use of algorithms and statistical models to analyze and draw inferences from patterns in data.

Machine Learning is important for scientists because it enables the automated analysis and interpretation of vast and complex data sets, leading to new discoveries, predictive modeling, and enhanced understanding of natural phenomena.

How to Improve Machine Learning Skills

Improving machine learning involves several key strategies focused on enhancing data quality, algorithm selection, model tuning, and deployment. Here’s a concise guide:

Data Quality : Begin with high-quality, diverse, and relevant datasets. Preprocess data by cleaning, normalizing, and feature engineering to improve model accuracy. Data Preprocessing in Machine Learning

Algorithm Selection : Choose the right algorithm based on the problem type (classification, regression, clustering, etc.). Experiment with different algorithms to find the most suitable one. Choosing the Right Machine Learning Algorithm

Model Tuning : Optimize hyperparameters using techniques like Grid Search and Random Search. Regularization methods (L1, L2) can prevent overfitting. Hyperparameter Tuning in Machine Learning Models

Cross-Validation : Use cross-validation techniques to ensure that your model generalizes well to new, unseen data. A Gentle Introduction to k-fold Cross-Validation

Ensemble Methods : Combine predictions from multiple models to improve accuracy. Techniques include Bagging, Boosting, and Stacking. Ensemble Learning to Improve Machine Learning Results

Performance Metrics : Evaluate models using appropriate metrics (accuracy, precision, recall, F1 Score for classification; MSE, RMSE for regression) to gauge performance accurately. Understanding Classification Report

Continuous Learning : Implement continuous learning where the model adapts over time with new data, especially for changing environments. Continuous Learning for Machine Learning Models

Ethical AI : Ensure fairness, transparency, and ethical use of AI by regularly auditing models for bias and discrimination. Ethical Machine Learning Practices

Incorporating these practices will enhance the performance, reliability, and ethical considerations of your machine learning projects.

How to Display Machine Learning Skills on Your Resume

10. Quantum Mechanics

Quantum mechanics is a fundamental theory in physics that describes the physical properties of nature at the scale of atoms and subatomic particles. It is characterized by the principles of wave-particle duality, quantization of energy, the uncertainty principle, and superposition. This theory underpins a broad range of phenomena and technologies, including the structure of atoms, chemical bonding, the behavior of semiconductors, and the principles of quantum computing.

Quantum mechanics is crucial for scientists because it provides the fundamental framework for understanding the behavior and interactions of particles at the atomic and subatomic levels, enabling the development of technologies such as semiconductors, lasers, and quantum computing, and deepening our understanding of the universe's fundamental principles.

How to Improve Quantum Mechanics Skills

Improving your understanding and skills in Quantum Mechanics (QM) involves a combination of theoretical study, practical application, and staying updated with the latest research. Here’s a concise guide tailored for a scientist:

Deepen Theoretical Understanding : Start with mastering the fundamentals before moving on to advanced topics. Griffiths' Introduction to Quantum Mechanics provides a solid foundation. Enhance your theoretical grasp by tackling complex problems in texts like Sakurai's Modern Quantum Mechanics .

Engage with Simulations and Software : Utilize quantum simulation software like QuTiP for Python to apply theoretical knowledge to practical scenarios. Tools like IBM’s Quantum Experience allow you to run experiments on real quantum computers.

Stay Informed on Cutting-Edge Research : Follow leading journals like Physical Review Letters and Nature Physics for the latest discoveries and theoretical advancements in quantum mechanics.

Participate in Workshops and Conferences : Attend leading quantum mechanics conferences like the March Meeting of the American Physical Society to engage with new research, network with peers, and share your work.

Collaborate and Communicate : Engage in collaborative projects with researchers from diverse backgrounds. Platforms like ResearchGate facilitate finding collaborators and discussing quantum mechanics topics.

Educational Platforms and Online Courses : Utilize platforms like Coursera and edX which offer courses from top universities on quantum mechanics and quantum computing, allowing you to learn at your own pace.

Improving in quantum mechanics is a continuous process of learning, application, and collaboration. Leveraging the right resources and engaging actively with the scientific community are key steps towards advancement in this field.

How to Display Quantum Mechanics Skills on Your Resume

CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) is a revolutionary genome editing technology that allows for precise, directed modification of the DNA of living organisms, utilizing the Cas9 enzyme guided by RNA to target specific genetic sequences for editing, deletion, or insertion.

CRISPR is a groundbreaking tool for genome editing, allowing precise manipulation of DNA sequences in living organisms. This facilitates unprecedented research opportunities in genetics, disease models, and therapeutic development.

How to Improve CRISPR Skills

Improving CRISPR technology involves enhancing its precision, efficiency, and versatility for genome editing. Key strategies include:

Cas Protein Engineering : Modifying Cas proteins (e.g., Cas9, Cas12) to reduce off-target effects and increase specificity. Nature Reviews Genetics (2020).

PAM Sequence Diversification : Expanding the range of Protospacer Adjacent Motif (PAM) sequences that CRISPR systems can recognize, enabling editing of more genomic locations. Science (2015).

Base Editing and Prime Editing : Developing more precise editing techniques that do not require double-strand breaks, thus minimizing undesired mutations. Base editors change individual nucleotides, while prime editors allow for more extensive edits. Nature (2019) for Prime Editing , Nature (2016) for Base Editing .

Delivery Mechanisms : Improving delivery methods for CRISPR components, including viral vectors, nanoparticles, and ribonucleoprotein complexes, to enhance efficiency and reduce potential immunogenicity. Nature Biotechnology (2018) .

CRISPR Screens for Off-target Effects : Utilizing CRISPR-based screens to identify and mitigate off-target effects, ensuring higher precision in genome editing. Science (2014).

Multiplexing : Editing multiple genes simultaneously by using CRISPR systems capable of targeting multiple sites within the genome, which is crucial for complex genetic engineering. Nature Biotechnology (2017) .

Each of these strategies contributes to making CRISPR a more accurate, efficient, and versatile tool for genetic editing, with applications ranging from basic research to therapeutic development.

How to Display CRISPR Skills on Your Resume

12. Nanotechnology

Nanotechnology is the manipulation and control of matter on an atomic and molecular scale, typically within dimensions of 1 to 100 nanometers, aiming to create materials, devices, and systems with novel properties and functions.

Nanotechnology is crucial for scientists as it enables the manipulation of matter at the atomic or molecular level, leading to groundbreaking innovations in materials science, medicine, electronics, and energy, with potential for profound impacts on society and the environment.

How to Improve Nanotechnology Skills

Improving nanotechnology involves focusing on precision, scalability, and integration across various fields. Here are concise strategies tailored for a scientist:

Enhance Precision : Develop techniques for more precise manipulation of nanomaterials. Study atomic-level assembly methods, such as Scanning Tunneling Microscopy (STM) and Atomic Layer Deposition (ALD), to achieve atomic precision.

Improve Scalability : Work on scalable manufacturing processes for nanomaterials. Explore advances in roll-to-roll processing and nanoimprint lithography to facilitate mass production.

Cross-disciplinary Integration : Foster collaboration across disciplines to integrate nanotechnology with biotechnology, electronics, and materials science. Engage in cross-disciplinary research projects and consult resources like Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology for inspiration and networking.

Enhance Material Properties : Focus on the synthesis of new nanomaterials with unique properties. Keep abreast of latest developments through journals like Advanced Materials and Nano Letters.

Environmental and Health Implications : Address potential environmental and health impacts of nanomaterials. Engage with the latest research and guidelines from the National Nanotechnology Initiative and the International Journal of Nanomedicine .

By focusing on these areas, scientists can contribute to the advancement of nanotechnology, leading to more innovative applications and solutions.

How to Display Nanotechnology Skills on Your Resume

Related Career Skills

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• Research Scientist

How to Become a Research Scientist

• Career Types
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• Career Progression

Who is a Research Scientist?

Everything that you see around you has been invented or discovered by the work of some extraordinary individuals who are known as research scientists. These individuals are responsible for carrying out scientific activities and are involved in the study of the world around them. They are also dedicated to improving the quality of life on the planet by developing new scientific methods and techniques.

If you are a science enthusiast who has a passion for the subject and is interested in learning more about the world around you, then you should consider becoming a research scientist. In addition to being involved in scientific activities, research scientists also have the opportunity to earn a living. In this article, we will be discussing how to become research scientist after 12th or how to become a research scientist in India. 

Research Scientist in a Nutshell

The passion for finding answers and the excitement of working on projects are some of the factors that make a fascinating research scientist career. However, working on a project can also expose them to various challenges and failures. A research scientist's job involves a wide variety of subjects and tasks.

Quick Facts for Research Scientist

Male, Female

Research scientist jobs are suitable for individuals who are interested in becoming a part of the technology and science industry. Both men and women can pursue this research scientist career. The right attitude and skills are some of the factors that a person should consider when it comes to choosing a research scientist career in this field.

Individuals with strong analytical and critical thinking skills can become a research scientist. There are no restrictions to this type of job, and it can be done remotely. In addition, there are various fields of science that can be done without any external efforts or physical movement. This is a perfect job for people with special needs.

Table of Contents for Research Scientist

What is the role of research scientist.

A research scientist is a person who is responsible for managing various tasks and projects, such as teams, documents, and projects. Some of them are from scratch, while others require some form of intermediary involvement. As a research scientist, you will be categorised into two categories: experimental and theoretical.

An experimental research scientist is a scientist who carries out the experiments and test results of a project. On the other hand, a theoretical research scientist is a scientist who works on the concepts and equations of a project.

The duties of a research scientist include overseeing the availability of the necessary services and equipment within the company at all times. He or she is also responsible for ensuring that the organization's policies and procedures are followed. The ideal candidate for this job would have the necessary skills and knowledge to maximize the efficiency of the company's resources.

Supervision

The duties of a research scientist include ensuring that the needs of the studies and trials are met at the centre of the care delivery process. He or she is also responsible for ensuring that the environment is safe and that the equipment used for the studies is working properly.

Team management

As a research scientist, he or she is responsible for ensuring that the various tasks and projects are carried out in a way that is consistent with the goals and objectives of the project. He or she is also expected to ensure that the team members come up with the best possible approach to the project.

Leadership Skills

Research scientists are expected to provide effective leadership and promote sound scientific practices. They are also responsible for developing support mechanisms that encourage and guide innovation in the field.

Maintenance work

As a research scientist, you will be responsible for disseminating knowledge and skills to other disciplines within the company. You will also be expected to deal with government officials and other organizations in stressful situations.

Research work

In certain situations, a research scientist's job involves carrying out a local audit and conducting research to ensure that the findings are properly disseminated. This type of work is usually carried out in order to obtain approval from the ethical council.

Types of a Research Scientist

There are various types of research scientists working in different scientific fields. These associates are responsible for analysing and disseminating scientific information.

Astronomer :  Astronomers are responsible for studying stars, galaxies, and planets. They also track the non-celestial objects in outer space. This field involves working closely with other scientists to study planetary movements.

Botanist :  As a botanist, one of the main roles of this field is to study the various aspects of the plants that are commonly found in the environment. They analyse the plant's structure, development, and uses.

Geologist :  As a Geologist, one of the most important roles in this field is to study the various elements of the Earth, including its solid, liquid, and gaseous state. He or she also studies the history and evolution of the planet.

Marine Biologist:  As a marine biologist, one of the main areas of specialisation is the study of the various marine organisms that live in the environment. This field involves analysing the interactions between plants and animals. After gaining a broad understanding of oceanography and biological oceanography, marine biologists conduct close research on different aquatic species.

What is the workplace/work environment of Research Scientist like?

As a research scientist, you will be part of a team working in different areas of the research, such as medical centres and laboratories. You will be expected to keep up with the latest developments in the field and the theoretical and experimental history of the project.

Does Research Scientist require travelling?

One of the main advantages of being a research scientist is that you will be working in a single research area, and you will typically spend about 90 per cent of your time in the OR suite. In other cases, you will be expected to work in different areas of the research, such as laboratories and experimental fields.

Employment Shifts

Full time, part time.

Research scientists are typically expected to work up to 60 hours per week, and they may also be required to be present on call during certain hours of the day. In certain facilities, where there are numerous trials, research scientists may be required to work in shifts to ensure that there are trained staff members available 24 hours a day.

Employment Nature

The nature of a research scientist's work is that it is a permanent position, which means that employers can hire them on a permanent basis. Medical centres and other third-party companies often hire research scientists.

As a research scientist, you will be expected to work in different areas of research, such as medical centres and laboratories. You will be expected to keep up with the latest developments in the field and the theoretical and experimental history of the project.

Presence in Geographical Area

Semi-urban, urban.

Tier-1 cities such as New Delhi, Bengaluru, Hyderabad, and Kolkata are known for their healthcare facilities and are known to be great places for research workers. In Tamil Nadu, the average research scientist salary is 10.6 per cent higher than the national average. In Bangalore and Karnataka, the research scientists earn more than the national average, while in Mumbai, the lowest pay is around 11.5 per cent.

Time Pressure

As a research scientist, you will be expected to work from 9 am to 5 pm, and you may be required to perform various shifts depending on the schedule.

Overtime Details

Research scientists are expected to work overtime, and this is typically done under certain circumstances. Apart from working long hours, they are also expected to perform other tasks that involve weekends and long days.

Weekly Hours of Work

Min 45 hours.

In certain facilities, where there are numerous trials, research scientists may be required to work in shifts to ensure that there are trained staff members available 24 hours a day.

How to become a Research Scientist?

Steps to become a research scientist.

If you are someone who enjoys doing research or want to know things in-depth then a career as a Research Scientist is the most suitable career for you. If you are looking for the details of how to become a research scientist in India or how to become a research scientist after 12th then you have come to the right place. We have mentioned below the steps for how to become a Research Scientist in India. 

Identify Skills

Enrol in formal training/course, pursue a specialised certification, build an attractive resume, gain experience, find a suitable job, begin a career.

To become a Research Scientist you are required to know what skills are required for a career as a Research Scientist. We have mentioned below some of the soft skills and hard skills.

Some of the soft skills for how to become a Research Scientist in India are attention to detail, communication skills, analytical skills, time management, collaboration and creativity. 

Creativity 

Curiosity 

Communication

Productivity

Formulaic Thinking 

Apart from that, you must also have some of the hard skills that are required to become a Research Scientist in India are cell culture, biochemistry, and data analysis. 

Data Analysis

Data Collection

Research Projects

Molecular Biology

Python and Java 

Cell Culture 

Experimental Design

If you are still looking for how to become a Research Scientist in India, then the most essential step for you to take is that you must opt for a formal training programme to gain knowledge in the subject and to opt for a career as a Research Scientist. You are required to complete 10+2 in Biology , Chemistry , Physics , and Mathematics from a recognised board in India. 

After you have completed your 10+2, you must opt for a bachelor’s degree by appearing for the entrance examination and then opt for a master’s degree in MSc Clinical Research or any other related degree. Below, We have mentioned the Research Scientist entrance examination, bachelor’s and master’s degrees.

Entrance Examinations

Bachelor’s Degree Programmes

Master’s Degree Programmes

If you are looking for how to become a Research Scientist in India, then you can also opt for a specialised certification. If you pursue a certification course you will gain more knowledge and skills. Below we have given some of the specialised certifications. 

Once you have completed your formal degree and certifications, you are required to create an attractive resume with all of your details such as subject knowledge and skills, your interest in the research field, and your educational background. Your resume must be in a formal and professional tone.

If you want to develop your skills and knowledge practically and gain industry experience then you must pursue an internship. Before you pursue your Ph.D. program it is better that you work for one to two years. You can upload your resume to various internship platforms, or connect directly to popular laboratories and research centers where you can work under the supervision of experienced professionals.

Once you have completed your training or internship, you can now apply for full-time job opportunities. You can apply on various job offering platforms such as Naukri, Linkedin, Monster and Indeed. Apart from that you can also approach directly to some of the laboratories or research institutes or universities. 

This is the final step in how to become a Research Scientist in India. After attending some of the related interviews you can select the best and the right offer and accept it and join the company and begin your career. 

What are the skills and qualities required to become a/an Research Scientist?

• Communication skills
• Critical thinking
• Learning Skills
• Attention to detail
• Physical strength
• Science skills

Patience:  As a research scientist, one has to remain calm and make the right decisions in order to carry out their duties. This is very important in order to maintain the continued success of the research project. The work that the associate does helps in developing new methodologies for human life.

Physical Strength: Having the proper physical strength and mental focus is very important for a research scientist to be successful in their job. Besides being physically fit, research scientist also needs to stay focused and alert during their trials, which can last for up to 8 hours.

Communication Skills:  One of the most critical skills that research scientists need to develop is communication skills. This is because, in a high-stakes environment, communicating effectively is very important.

Science Skills: People should have a deep understanding of science in order to excel in their field. This is very important for them to become a research scientist. Besides being able to excel in the field, it is also very important that they have a passion for technology.

Attention to Detail: One of the most important factors that a research scientist should consider when it comes to becoming a research scientist is the importance of paying attention to detail. This is because, in order to produce the best possible work, one must always be able to make the necessary decisions.

Critical Thinking:  As a research scientist, you must have the necessary skills to analyse and interpret data in order to make informed decisions. This discipline involves identifying the weaknesses and strengths of various solutions. Besides being able to analyse and interpret data, a research scientist also needs to have the necessary analytical skills to deal with difficult situations.

Learning Skills: In addition to being able to analyse and interpret data, a research scientist also needs to have the necessary analytical skills to deal with difficult situations. Learning skills are very important in a career as a research scientist. This discipline involves conducting various tasks such as inspecting and testing equipment.

Which certifications and internships can be helpful in becoming Research Scientist?

Individuals aspiring to become research scientist can upgrade their skills by taking various certification courses. These courses can help them perform at their best.

Internship Availability

Several organisations in the science and technology industry provide internships to students. These are designed to provide them with an opportunity to enhance their technical skills and experience, as well as learn more about becoming a research scientist. To apply, students must go through the website portals of their choice. They are also required to provide their CV and meet the requirements of the internship. Shortlisted candidates will be given various opportunities throughout the year.

Career Path Progression for Research Scientist

Junior Research Scientist:  Junior research scientists are responsible for providing technical guidance to the technicians and interns working in other fields who are under their expertise. These individuals use their knowledge in the areas they work in to improve their efficiency.

Senior Research Scientist:  A senior research scientist is a person who focuses on the principles of various engineering disciplines such as electrical, chemical, and physics. They supervise the technicians and technologists who are involved in the production or research of the project. They also prepare reports and perform other tasks to communicate engineering recommendations.

Research Scientist Jobs and Salaries

Junior research scientist.

• Average Salary 39000

Job Description

The Junior Research Scientist job description includes planning and conducting experiments, and formulating and executing investigative protocols. A Junior Research Scientist does data collection and analysis. 

Salary Description

An entry-level Junior Research Scientist salary in India ranges between Rs 2.0 Lakhs to Rs 9.8 Lakhs with an average annual salary of Rs 5.0 Lakhs per annum. Junior Research Scientist in India may vary depending on the various job factors like the skills and experience of the candidates, job location, and others.

Salary Source: AmbitionBox

Senior Research Scientist

• Average Salary 70000

The Senior Research Scientist job description includes securing the funding, publishing the findings and conducting in-house research presentations. A Senior Research Scientist promotes beneficence, minimises risks, and collects and analyses data.

The estimated Senior Research Scientist salary in India ranges from Rs 5.6 Lakhs to Rs 20.0 Lakhs with an average annual salary of Rs 10.0 Lakhs per annum. Senior Research Scientist salary may vary depending on the various job factors.

What is the job outlook for Research Scientist?

There are numerous growth opportunities in a research scientist career. You can choose to specialise in one of the areas of corporate social responsibility or develop new skills in areas such as research and development.

One of the oldest research scientist career in the industry, research scientist has plenty of scope and potential. In addition to being in the medical and biological sectors, research scientist jobs are also available in engineering technology fields. This field is heavily influenced by the discoveries made in the field of engineering, which involves the study of particulate matter.

Frequently Asked Questions for Research Scientist

Que. how to become a research scientist in biotechnology.

You must pursue a bachelor's degree by giving an entrance exam like ARS NET, JRF,  ICMR, and DBT NET and opt for a master's degree in MSc Biotechnology and must opt for an internship for atleast one to two years.  

Que. How to become a research scientist in physics?

You must pursue a bachelor's degree by giving an entrance exam like JEST, or UGC-NET and opt for a master's degree in biochemistry, biology, or pharmacology and must opt for an internship for atleast one to two years.  

Que. How to become a research scientist in biology?

You must pursue a bachelor's degree in biology by giving an entrance exam and opt for a master's degree in biochemistry, biology, or pharmacology and must opt for an internship for atleast one to two years. After that, you can opt for a PhD.

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Questions related to Research Scientist

Which is the best msc in microbiology or msc in bio physicsin terms of jobs as a research scientist after completing my bsc degree in microbiology ....

Hello Aspirant,

There are numerous opportunities ahead for graduates of M.Sc Microbiology. The scope has risen for M.Sc. microbiology graduates with the emergence of COVID. The demand for researchers has constantly increased to determine whether its existence in the human ecosystem is natural or man-made.

An M.Sc. in microbiology provides numerous opportunities in various fields such as education, healthcare, pharmaceutical, and agriculture.

Graduates can find career opportunities in both the private as well as public sectors. The agriculture sector also demands skilled professionals for microbiological research on subjects like rhizosphere, nitrogen fixation, biogas production, soil enzymes, and anaerobic decomposition.

Further, you can know more about the top colleges, salary packages, etc at https://www.careers360.com/courses/msc-in-microbiology#:~:text=Benefits%20of%20Studying%20M.Sc%20Microbiology%20A%20M.Sc.%20in,both%20the%20private%20as%20well%20as%20public%20s

MSc Biophysics: Biophysics is an advanced field of science that uses the techniques of physical science to study biological systems.

Benefits of studying biophysics:

1. Biophysicists can also work in universities, industry, medical centers, research institutes, and government.

2. Candidates can find jobs as biophysics researchers or scientists with research institutes or government organizations in various academic grades for research-oriented programs.

3. The course is beneficial for those who are curious about biological processes and enjoy puzzle solving, designing experiments, or working with numbers and computers, there are many exciting opportunities for you in biophysics.

4. They can even find a job as a professor or member of faculty in a university, medical or dental college offering a program in biophysics.

Further, You can know about this course at https://www.careers360.com/courses/bio-physics-course

In the end, what matters the most is in which area your interest lies and the amount of hard work you put into it.

Best Wishes!

I wanted to ask that do research scientist ( I mean kvpy scholar) earn good amount of money in India ?

Dear aspirant,

Department of Science and Technology, Government of India has started Kishore Vaigyanik Protsahan Yojana or Young Scientist Incentive Plan for encouraging young scientists in pursuing research career courses in basis sciences upto Pre-Ph.D level.

The KVPY students receive a amout of Rs. 5000 monthly fellowship from first year of degree to final year of degree in courses like Integrated M.S or M.Sc, B.Sc or B. Statistics or B. Mathematics or B.S Maths/ Integrated M.S./M.Sc. They receive amount of Rs. 20,000 per year as annual contingency grant. After 3 years the amount is increased to Rs. 7000 and annual grant of Rs. 28,000 is given.

Candidates can also get DST Inspire Scholarship with worth of Rs. 80,000 per annum. The scholarship is given on the basis of Skill test conducted every year.

I hope this information was useful to you.

Best of Luck!!

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• 10 April 2024

How to supercharge cancer-fighting cells: give them stem-cell skills

• Sara Reardon 0

Sara Reardon is a freelance journalist based in Bozeman, Montana.

You can also search for this author in PubMed   Google Scholar

A CAR T cell (orange; artificially coloured) attacks a cancer cell (green). Credit: Eye Of Science/SPL

You have full access to this article via your institution.

Bioengineered immune cells have been shown to attack and even cure cancer , but they tend to get exhausted if the fight goes on for a long time. Now, two separate research teams have found a way to rejuvenate these cells: make them more like stem cells .

Both teams found that the bespoke immune cells called CAR T cells gain new vigour if engineered to have high levels of a particular protein. These boosted CAR T cells have gene activity similar to that of stem cells and a renewed ability to fend off cancer . Both papers were published today in Nature 1 , 2 .

The papers “open a new avenue for engineering therapeutic T cells for cancer patients”, says Tuoqi Wu, an immunologist at the University of Texas Southwestern in Dallas who was not involved in the research.

Reviving exhausted cells

CAR T cells are made from the immune cells called T cells, which are isolated from the blood of person who is going to receive treatment for cancer or another disease. The cells are genetically modified to recognize and attack specific proteins — called chimeric antigen receptors (CARs) — on the surface of disease-causing cells and reinfused into the person being treated.

But keeping the cells active for long enough to eliminate cancer has proved challenging, especially in solid tumours such as those of the breast and lung. (CAR T cells have been more effective in treating leukaemia and other blood cancers.) So scientists are searching for better ways to help CAR T cells to multiply more quickly and last longer in the body.

Cutting-edge CAR-T cancer therapy is now made in India — at one-tenth the cost

With this goal in mind, a team led by immunologist Crystal Mackall at Stanford University in California and cell and gene therapy researcher Evan Weber at the University of Pennsylvania in Philadelphia compared samples of CAR T cells used to treat people with leukaemia 1 . In some of the recipients, the cancer had responded well to treatment; in others, it had not.

The researchers analysed the role of cellular proteins that regulate gene activity and serve as master switches in the T cells. They found a set of 41 genes that were more active in the CAR T cells associated with a good response to treatment than in cells associated with a poor response. All 41 genes seemed to be regulated by a master-switch protein called FOXO1.

The researchers then altered CAR T cells to make them produce more FOXO1 than usual. Gene activity in these cells began to look like that of T memory stem cells, which recognize cancer and respond to it quickly.

The researchers then injected the engineered cells into mice with various types of cancer. Extra FOXO1 made the CAR T cells better at reducing both solid tumours and blood cancers. The stem-cell-like cells shrank a mouse’s tumour more completely and lasted longer in the body than did standard CAR T cells.

Master-switch molecule

A separate team led by immunologists Phillip Darcy, Junyun Lai and Paul Beavis at Peter MacCallum Cancer Centre in Melbourne, Australia, reached the same conclusion with different methods 2 . Their team was examining the effect of IL-15, an immune-signalling molecule that is administered alongside CAR T cells in some clinical trials. IL-15 helps to switch T cells to a stem-like state, but the cells can get stuck there instead of maturing to fight cancer.

The team analysed gene activity in CAR T cells and found that IL-15 turned on genes associated with FOXO1. The researchers engineered CAR T cells to produce extra-high levels of FOXO1 and showed that they became more stem-like, but also reached maturity and fought cancer without becoming exhausted. “It’s the ideal situation,” Darcy says.

Stem-cell and genetic therapies make a healthy marriage

The team also found that extra-high levels of FOXO1 improved the CAR T cells’ metabolism, allowing them to last much longer when infused into mice. “We were surprised by the magnitude of the effect,” says Beavis.

Mackall says she was excited to see that FOXO1 worked the same way in mice and humans. “It means this is pretty fundamental,” she says.

Engineering CAR T cells that overexpress FOXO1 might be fairly simple to test in people with cancer, although Mackall says researchers will need to determine which people and types of cancer are most likely to respond well to rejuvenated cells. Darcy says that his team is already speaking to clinical researchers about testing FOXO1 in CAR T cells — trials that could start within two years.

And Weber points to an ongoing clinical trial in which people with leukaemia are receiving CAR T cells genetically engineered to produce unusually high levels of another master-switch protein called c-Jun, which also helps T cells avoid exhaustion. The trial’s results have not been released yet, but Mackall says she suspects the same system could be applied to FOXO1 and that overexpressing both proteins might make the cells even more powerful.

Nature 628 , 486 (2024)

doi: https://doi.org/10.1038/d41586-024-01043-2

Doan, A. et al. Nature https://doi.org/10.1038/s41586-024-07300-8 (2024).

Article   Google Scholar  

Chan, J. D. et al. Nature https://doi.org/10.1038/s41586-024-07242-1 (2024).

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The Health and Clinical Outcomes Research, Health Data Science Student Spotlight Series: Pham Quoc Anh Vu (’24) 

Pham Quoc Anh Vu (’24) is a second-year student in the Master of Health Data Science program in the Saint Louis University School of Medicine.

He recently shared his thoughts about the program and why he pursued a career in Health Data Science, advice for incoming students, and what he hopes to do with his career.  

What inspired you to pursue a degree in Health Data Science? 

Initially, my motivation stemmed from a desire to further my career prospects, coupled with a quest for comprehension whenever my biology research colleagues would present their bio-informatic data. However, over time, my fascination deepened into a genuine passion for data science and love for the intricacies of coding.

I find immense gratification in witnessing how data informs our decision-making processes and debunking preconceived assumptions. The evolving landscape of data science continues to captivate me, driving my dedication to unraveling its complexities and contributing to its advancements, and the little spark of joy when seeing your code run perfectly.

What skills or knowledge have you gained that you believe will benefit your future career?  

In addition to employing statistical methodologies and analyses for adapting machine learning models, the program has instilled in me a profound appreciation for the virtues of patience and flexibility. Through this journey, I've come to understand that while technical expertise is vital, the ability to patiently iterate, refine, and adapt models based on evolving data and insights is equally crucial.

Rather than fixating on a singular approach, I learned to embrace alternative perspectives when tackling complex problems. I have become more confident being proactive with the faculty and professors, asking questions whenever uncertain, and consistently interacting with and utilizing all available resources.

How has your involvement in extracurricular activities or research enhanced your academic journey? 

I had the privilege of collaborating with Dr. (Noor) Al-Hammadi on a project that initially seemed straightforward. We anticipated that coding for a specific package would be a brief task, perhaps spanning a day or two. However, as we delved deeper, we encountered complexities beyond our expectations.

By meticulously scrutinizing every aspect of the package's design, I fortified its resilience, ensuring it could effortlessly evolve alongside the dynamic landscape of data science, ready to tackle new challenges with unwavering efficacy, and a sprinkle of finesse.

How has the support and mentorship from faculty and peers influenced your academic and personal growth? 

The unwavering support and encouragement from both the staff and professors have been invaluable throughout this journey. Initially, I was plagued with self-doubt, particularly when confronted with the daunting world of coding, in which I had no experience. The transition from a research biology lab to this unfamiliar environment only compounded my fear. Yet, the professors went above and beyond, extending a guiding hand by inviting alumni to share their own experiences and offering clear, concise pathways to success. Their guidance proved indispensable.

As I reflect on my progress after the first year, I can confidently say that I've grown significantly more assured. Though occasional hesitations and setbacks still arise, especially in the realm of job hunting, I am fortified by the robust support system they've provided. With their unwavering backing, I feel empowered to navigate my path forward with newfound clarity and determination.

What advice do you have for incoming students interested in Health Data Science? 

Aim for greatness. Embrace curiosity and never be afraid of seeking clarity. Each of you has journeyed far from your home to immerse yourselves in one of the most rapidly advancing and fiercely competitive domains. Spare no effort in your pursuit of success, yet let integrity and purpose guide every action; leave nothing left unsaid.

What are your Capstone Experience plans and how do you think it will help you prepare for the job hunt? 

Having spent three years in a research laboratory conducting experiments, I am now seeking a new direction for my capstone project. My desire is to pursue an internship within the data management division of a hospital or research institution to truly expand my expertise as well as gain novel, invaluable experience which will help with my job search post-graduation.

About the Health Data Science, M.S.

Saint Louis University's Master of Science program in health data science is designed to prepare students for a career in today's data-driven health care industry. Successful data scientists possess an artful ability to blend, synthesize and communicate data for use in clinical decisions by patients and providers, as well as advancing quality improvement efforts across health systems.

View More Information

About the Department of Health and Clinical Outcomes Research

The mission of the Department of Health and Clinical Outcomes Research is to serve as the collaborative bridge between divisions, departments, and colleges/schools across medicine and the health sciences to support methodologically rigorous research to solve complex health problems. The Department of Health and Clinical Outcomes Research is a scholarly community of faculty, staff and students committed to strengthening the delivery and outcomes of medical care through education and training programs, innovative research, and consulting services. 

• Research Scientist Resume Example

Resume Examples

• Common Tasks & Responsibilities
• Top Hard & Soft Skills
• Action Verbs & Keywords
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• Similar Resumes

Common Responsibilities Listed on Research Scientist Resumes:

• Conducting scientific research and experiments to explore new theories, concepts, and technologies.
• Designing and implementing research projects, including developing research protocols and methodologies.
• Collecting and analyzing data using various scientific techniques and tools.
• Interpreting and evaluating research findings to draw conclusions and make recommendations.
• Collaborating with other scientists and researchers to exchange ideas, share knowledge, and enhance research outcomes.
• Writing research proposals, grant applications, and scientific papers for publication in academic journals.
• Presenting research findings at conferences, seminars, and other scientific forums.
• Keeping up-to-date with the latest advancements and trends in the field of research.
• Mentoring and supervising junior researchers and laboratory staff.
• Managing research budgets, resources, and equipment.
• Collaborating with industry partners and stakeholders to apply research findings in practical settings.
• Participating in interdisciplinary research projects and teams to address complex scientific challenges.

Speed up your resume creation process with the AI-Powered Resume Builder . Generate tailored achievements in seconds for every role you apply to.

Research Scientist Resume Example:

• Designed and executed a series of experiments to investigate the efficacy of a novel drug candidate, resulting in a 30% improvement in treatment outcomes compared to current standard therapies.
• Collaborated with a team of researchers to develop a groundbreaking research protocol for studying the genetic basis of a complex disease, leading to the identification of three novel genetic markers associated with disease susceptibility.
• Published research findings in a prestigious scientific journal, receiving recognition from the scientific community and contributing to the advancement of knowledge in the field.
• Managed a research project focused on developing a new diagnostic tool for early detection of cancer, achieving a 95% accuracy rate in identifying cancerous cells and significantly reducing false positive results.
• Collaborated with industry partners to translate research findings into practical applications, resulting in the development of a prototype device that has the potential to revolutionize cancer screening methods.
• Presented research findings at international conferences, receiving accolades for the innovative approach and potential impact on improving patient outcomes.
• Developed and implemented a novel research methodology for studying the effects of environmental factors on plant growth, leading to the discovery of a new plant species with enhanced drought tolerance and potential applications in agriculture.
• Mentored and supervised a team of junior researchers, guiding them in conducting experiments and analyzing data, resulting in the successful completion of multiple research projects and the publication of several scientific papers.
• Obtained research funding through successful grant applications, securing $500,000 in funding for a project focused on developing sustainable solutions for water conservation in arid regions.
• Experimental design and execution
• Data analysis and interpretation
• Scientific writing and publishing
• Project management
• Team collaboration and leadership
• Grant writing and funding acquisition
• Knowledge of molecular biology and genetics
• Proficiency in using research and diagnostic tools
• Presentation and communication skills
• Ability to translate research findings into practical applications
• Mentoring and supervising junior researchers
• Knowledge of statistical analysis software
• Understanding of ethical research practices
• Problem-solving and critical thinking
• Ability to work in a multidisciplinary environment
• Proficiency in using laboratory equipment
• Knowledge of current scientific literature and trends
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Harvard Kennedy School faculty members get creative and collaborative in a new artificial intelligence course module

“The Science and Implications of Generative AI” equips learners with the skills to use AI technology responsibly for societal benefit.

Since Open AI’s ChatGPT arrived at the end of 2022, generative artificial intelligence has been big news, with many companies scrambling to develop their own tools. The technology is already changing the way people work and learn, provoking excitement about its potential and anxiety about misuse.

To help Harvard Kennedy School students better understand generative AI — technology that can generate images or text based on prompts, such as ChatGPT—faculty members Sharad Goel, Dan Levy, and Teddy Svoronos developed an interdisciplinary course module, DPI-681M , “The Science and Implications of Generative AI ,” which they are teaching for the first time this semester. The course provides a background in how the technology works, plenty of hands-on exercises, and a curriculum that emphasizes how HKS students—future policymakers and public leaders—“can harness AI technology responsibly for the benefit of society.” They have also made much of the module materials public —including short videos, readings, and exercises—so that more people can benefit from these lessons.

“It’s important that when people leave the Kennedy School to go into policy positions, they have knowledge and informed opinions about generative AI.”

Teddy svoronos.

Sharad Goel , a professor of public policy, recalls that the idea for the course started in the early fall 2023. A number of HKS faculty members were experimenting with generative AI in the core courses, including an AI tool they called StatGPT that helped students in the core MPP courses practice and learn statistics. Goel found students were coming to him in office hours looking to learn about generative AI, and he realized there weren’t many opportunities at Harvard to do so. 

The hope, Goel says, is that HKS students “become sophisticated and responsible users of AI.”

Goel worked with Levy , a senior lecturer in public policy, and Svoronos , a lecturer in public policy, to develop the module quickly, despite full teaching loads. It was important and timely. Svoronos says he was concerned about people brushing off the technology and underestimating it. “If policymakers have a perspective that this is not a big deal, we are in deep trouble,” he says. “A lot of people making these tools see the potential. If we have a divide where the people who were going to potentially regulate it or think about the public good are not really paying attention to it, that’s quite troubling. It’s important that when people leave the Kennedy School to go into policy positions, they have knowledge and informed opinions about generative AI.”

To provide students with a thorough grounding of the technology and its implications, the course is divided into units on the science of how generative AI works, how individuals and organizations can use the technology, and its implications for society. “Designing this course represented a really exciting challenge. The field is evolving so rapidly that it is hard to keep up,” Levy says. “So, we sought to strike a balance between helping students learn things that are likely to be helpful regardless of how AI evolves while at the same time adapting in real time to the changes that might make some course ideas obsolete or irrelevant.”

Much of the classroom experience is hands-on. For example, to help understand the science, the instructors have an exercise with students acting as neurons in a deep neural network, a layered machine learning algorithm that mimics the way the human brain processes information. In class, students get their computers out, experiment with prompts to generate interesting results, build chatbots, and document what they are seeing. “We’re focusing on collaborative activities to get people to experiment,” Svoronos says, “because the goal is for people to shift their mindsets toward experimenting more and being comfortable enough with the tools to see what they can do and then decide whether they should use them.”

“Our hope is that they become sophisticated and responsible users of AI.”

Sharad goel.

Levy says that teaching with Goel and Svoronos was a special experience. “All three of us are in the classroom in every class session, with one of us at the front of the room at any one time,” he says. “This means that there are sessions where one or two of us gets to experiment what it feels like to be a student in the classroom. It is an incredible privilege and joy to be in a classroom to learn, especially about a field as exciting as this one.”

While “The Science and Implications of Generative AI” is a new module this spring, the teaching team hopes to develop it into a semester-long course and bring similar lessons into HKS Executive Education programming. A new HKS webpage also pulls together information on courses, events, and other resources on artificial intelligence.

Faculty-created chatbots and AI tools

Beyond the course Goel, Levy, and Svoronos teach, experimentation on AI abounds at HKS, with faculty members using machine learning in their teaching and research in a variety of ways. Instructors are using the latest version of StatGPT, which is now dubbed PingPong, to help their students learn, ask questions, and walk through problems—along with other customized bots. These tools give students additional support, complementing the work of the teaching teams.

For students—or anyone, really—hoping to make their writing more effective, there is an AI tool created by Todd Rogers , the Weatherhead Professor of Public Policy. Rogers, who studies the science of behavior change, built a free “ AI for Busy Readers ” email coaching tool. It edits emails so they are easy to skim by applying the principles from his book Writing for Busy Readers , coauthored with Jessica Lasky-Fink. You can submit any email and the AI tool will suggest a revision. “We developed this AI tool to help my students see what their emails could look like if they were written specifically for busy readers,” Rogers says. “To my surprise, students keep using the tool—and sharing it! In just the last few months we’ve exceeded 100,000 uses—and it’s still growing exponentially.”

“We sought to strike a balance between helping students learn things that are likely to be helpful regardless of how AI evolves while at the same time adapting in real time to the changes that might make some course ideas obsolete or irrelevant.”

And Julia Minson , an associate professor of public policy, is using the power of artificial intelligence to roleplay and take on personas. Minson, who studies the psychology of disagreement, is developing a bot to simulate conversations with someone with whom you might disagree. This tool will give people the opportunity to practice the hard skills of constructive conversation in a low-stakes environment. “One of the greatest challenges of improving your skills around disagreement is willingness to practice,” Minson says. “But practice is hard when there are serious interpersonal stakes attached. A chatbot can really take that pressure off.”

While the technology behind artificial intelligence is becoming increasingly sophisticated at an astonishing rate, School faculty members are experimenting to help students become more thoughtful, knowledgeable, and responsible future policy professionals.

Photographs by Jessica Scranton; Portraits by Martha Stewart

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