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Graduate research assistant skills for your resume and career

15 graduate research assistant skills for your resume and career
1. R
R is a free software environment and a language used by programmers for statistical computing. The R programming language is famously used for data analysis by data scientists.
- Conducted high dimensional data visualization and multivariate statistical analysis using R and SAS.
- Performed data analysis using R and visualization data using JavaScript.
2. Technical Reports
Technical reports are a type of document that is used to indicate either the progress, result, or process of scientific research or the state of problems occurring within such research. A technical report may also showcase the report's overall conclusion and may also include recommendations. This kind of report does not require a peer review and isn't published officially but distributed within the organizations where it was formed.
- Participated in meetings with academic as well as industry personnel, prepared technical reports, presentations and reviewed and recommended design changes
- Disseminated results to general and scientific audiences via peer-reviewed scientific publications, oral presentations and technical reports.
3. Research Projects
- Developed ideas for both individual and collaborative research projects; authored and submitted corresponding grant applications to provide funding for research.
- Assisted two human resources professors in hospitality research projects, gathered information for literature review, performed grading and data entry tasks
4. Graduate Research
Graduate research is work and studying done by someone pursuing a masters or doctorate degree.
- Graduate research involved assessing the contribution of sympathetic nervous system in long-term regulation of blood pressure and development of hypertension.
- Supervised and participated in solid and air sample collection and managed a laboratory including the supervision of undergraduate researchers.
5. 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.
- Collected data using questionnaires and organized data collection of a loss and trauma study and spearheaded community outreach to maximize study participation
- Managed data collection activities such as interviews and Internet research and created visualization of research data for presentations using Microsoft Excel.
6. Data Analysis
- Provided technical assistance to five graduate and undergraduate trainees in laboratory techniques, experimental design, data analysis, and presentation skills
- Applied jackknife empirical likelihood method to estimation of variance without estimating the mean function Performed longitudinal data analysis for CD4 cells
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- Developed an independent research project involving design of various microbiological assays involving growth of bacteria and mammalian cell culture.
- Developed optimum feed medium for CHO cell culture for longer cell viability and higher productivity of monoclonal antibody.
8. Literature Reviews
- Solo-authored three literature reviews, in addition to authoring a position paper critiquing intervention/behavioral campaigns and co-authoring two qualitative studies.
- Co-developed a computational model for measuring skill decay in organizational design teams, including literature review and digital tool creation.
9. 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
- Developed complex programming in C++ to calculate a function being optimized within a numerical optimization procedure and to deliver the results.
- Designed effective and efficient big data clustering algorithms using Python and C++ for classification and anomaly detection in real-world data sets.
10. Synthesis
Synthesis refers to the process of combining a number of things to become something new. Depending on the field of work, this may mean combining ideas, products, and new influences into a new service or product. Overall, the process is focused on reviewing and analyzing different data points to make something new.
- Demonstrated adeptness in bacterial cell culturing; protein purification; biochemical enzymatic assays; and basic organic synthesis techniques.
- Conducted organic synthesis and computational modeling for drug development, organized seminars and conferences, presented and published scientific research
11. Statistical Analysis
- Provided expertise in statistical analysis for analyzing primary and secondary interaction effect of inhibitors on hydrolysis and fermentation rates and yields.
- Clean EEG data and apply statistical analysis methods to find correlations between intrusive and non intrusive sensors during simulated stressed conditions.
12. 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.
- Collected magnetic data and estimated the critical exponents of Ni2MnGa system from extensive data analysis utilizing a purpose-written Python code.
- Developed python code to categorize galaxies using geometrical convex hull contours defined by previous data sets.
13. 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.
- Served as Teaching Assistant for organic and general chemistry laboratory courses * Involved in tutoring undergraduate students in general and organic chemistry
- Fostered cross laboratory collaboration between physics labs and between engineering, biology, and chemistry departments to accomplish shared goals.
14. SPSS
- Conducted research by administering quantitative and qualitative surveys to low income fathers and entering and analyzing the data using SPSS
- Developed sound quantitative and qualitative skills, SPSS and Microsoft Excel analysis abilities, data manipulations.
15. SAS
SAS stands for Statistical Analysis System which is a Statistical Software designed by SAS institute. This software enables users to perform advanced analytics and queries related to data analytics and predictive analysis. It can retrieve data from different sources and perform statistical analysis on it.
- Analyzed large traffic crash data and road inventory data using SAS -Developed crash risk prediction models -Conducted before-after studies for roadway improvements
- Developed SAS code and applied multivariate analysis method to generate and validate descriptive and inferential statistical results of experiment data.
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What skills help Graduate Research Assistants find jobs?
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What skills stand out on graduate research assistant resumes?
Assistant Professor of Spanish, North Central College
What soft skills should all graduate research assistants possess?
Harriet Phinney Ph.D.
Associate Professor, Seattle University
What hard/technical skills are most important for graduate research assistants?
Harriet Phinney Ph.D.
Associate Professor, Seattle University
What graduate research assistant skills would you recommend for someone trying to advance their career?
Professor of Classical Studies, DePauw University
What type of skills will young graduate research assistants need?
Associate Professor of Environmental History, Ohio State University
What technical skills for a graduate research assistant stand out to employers?
Sya Kedzior Ph.D.
Associate Professor, Towson University
List of graduate research assistant skills to add to your resume

The most important skills for a graduate research assistant resume and required skills for a graduate research assistant to have include:
- R
- Technical Reports
- Research Projects
- Graduate Research
- Data Collection
- Data Analysis
- Cell Culture
- Literature Reviews
- C++
- Synthesis
- Statistical Analysis
- Python
- Chemistry
- SPSS
- SAS
- Research Findings
- SEM
- Independent Research
- RT-PCR
- NMR
- Analyze Data
- DNA
- Research Data
- SQL
- HPLC
- Nanoparticles
- LabVIEW
- CAD
- Public Health
- NSF
- Molecular Biology
- PI
- UV-Vis
- Literature Searches
- GIS
- Journal Articles
- CFD
- Solidworks
- Ansys
- IRB
- PowerPoint
- Mechanical Properties
- Experimental Data
- Electrophoresis
- GEL Electrophoresis
- FEA
- ArcGIS
- Elisa
- AUG
- FTIR
Updated January 8, 2025