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Research scientist skills for your resume and career

The hard skills a research scientist will need for their job depend largely on the scientific field and industry one works in. In general, one of the most important hard skills a research scientist can possess is data analysis because data analytics helps to make sense of scientific research. It's also important for research scientists to have the hard skill of knowledge of procedures, and the potential ability to train others on these procedures.
When it comes to soft skills, research scientists should have a strong sense of curiosity above all else. Research scientists need to be able to record and keep track of data, so organizational skills are also crucial.
15 research scientist skills for your resume and career
1. Python
Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.
- 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
- 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
- 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.
4. C++
C++ is a general-purpose programming language that is used to create high-performing applications. It was invented as an extension to the C language. C++ lets the programmer have a high level of domination over memory and system resources. C++ is an object-oriented language that helps you implement real-time issues based on different data functions
- 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
- 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 branch of science that tells us about the composition, properties, and structure of elements and compounds. The processes these elements undergo and how they undergo change all come under the branch of 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.
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Java is a widely-known programming language that was invented in 1995 and is owned by Oracle. It is a server-side language that was created to let app developers "write once, run anywhere". It is easy and simple to learn and use and is powerful, fast, and secure. This object-oriented programming language lets the code be reused that automatically lowers the development cost. Java is specially used for android apps, web and application servers, games, database connections, etc. This programming language is closely related to C++ making it easier for the users to switch between the two.
- 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
- 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 means to analyze and collect all the necessary information. It helps in carrying out research and in storing important and necessary information. The most important goal of data collection is to gather the information that is rich and accurate for statistical analysis.
- 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
- 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
- Project: Convolutional Neural Network for document classification (2016.10-2017.1) - Develop a convolutional neural network sentence classifier using Tensorflow.
12. Visualization
- 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
- 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
- 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 is the process of researching in an objective and controlled manner to maximize precision and draw specific conclusions about a hypothesis statement. It is a concept used to efficiently organize, conduct, and interpret the results of experiments to ensure that as much useful information as possible is obtained by conducting a small number of trials. This minimizes the effects of the variables to increase the reliability of the results.
- 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.
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What skills help Research Scientists find jobs?
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What skills stand out on research scientist resumes?
Director of Undergraduate Research, Director of Bridge and Launch Programs, Associate Professor of Latin American History, Azusa Pacific 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?
Alexandra (Sasha) Ormond Ph.D.
Associate Professor of Chemistry, Director of Dual Degree Engineering, Meredith College
What research scientist skills would you recommend for someone trying to advance their career?
What type of skills will young research scientists need?
Professor, University of Southern California
What technical skills for a research scientist stand out to employers?
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:
- Python
- Data Analysis
- Patients
- C++
- Research Projects
- Chemistry
- Java
- Molecular Biology
- Data Collection
- Cell Culture
- TensorFlow
- Visualization
- Excellent Interpersonal
- Laboratory Equipment
- Experimental Design
- CRISPR
- R
- RNA
- Statistical Analysis
- Flow Cytometry
- Prototyping
- Product Development
- Synthesis
- SQL
- Research Findings
- Technical Reports
- Extraction
- Drug Discovery
- Next-Generation Sequencing
- Elisa
- PowerPoint
- Method Development
- Analytical Methods
- FDA
- Adaptive
- Math
- Distributed Computing
- PI
- Clinical Trials
- Cell-Based Assays
- HPLC
- DNA
- SAS
- Western Blotting
- Technical Support
- Emerging Technologies
- Biomarkers
Updated January 8, 2025