Student research assistant job description
Updated March 14, 2024
6 min read
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Example student research assistant requirements on a job description
Student research assistant requirements can be divided into technical requirements and required soft skills. The lists below show the most common requirements included in student research assistant job postings.
Sample student research assistant requirements
- Bachelor's degree in relevant field.
- Proficiency in relevant software programs.
- Excellent organizational abilities.
- Strong analytical and problem-solving skills.
- Ability to work independently and meet deadlines.
Sample required student research assistant soft skills
- Excellent communication skills.
- Ability to work in a collaborative environment.
- Ability to think critically and creatively.
- Ability to adapt to changing environments.
Student research assistant job description example 1
Google student research assistant job description
Applications will go live in late Fall 2022.
Participation in this program requires that you are located in the United States for the duration of the engagement.
This opportunity is intended for students who are pursuing a BS degree with an anticipated graduation date after December 2024, depending on their program and unique circumstances. If you are graduating before December 2024, we encourage you to apply to the Internship openings.
To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume
Minimum qualifications:
+ Currently enrolled in a Bachelor's degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
+ Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
Preferred qualifications:
+ Currently attending a degree program in the US.
+ Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
+ Experience as a researcher, including internships, full-time, or at a lab.
+ Experience contributing research to communities or efforts, including publishing papers in conferences or journals.
+ Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
+ Ability to speak and write in English fluently.
The Student Researcher Program's primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on research projects.
The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don't always have a clear deliverable like a traditional internship would.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
+ Participate in research to develop solutions for real-world, large-scale problems.
Participation in this program requires that you are located in the United States for the duration of the engagement.
This opportunity is intended for students who are pursuing a BS degree with an anticipated graduation date after December 2024, depending on their program and unique circumstances. If you are graduating before December 2024, we encourage you to apply to the Internship openings.
To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume
Minimum qualifications:
+ Currently enrolled in a Bachelor's degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
+ Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
Preferred qualifications:
+ Currently attending a degree program in the US.
+ Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
+ Experience as a researcher, including internships, full-time, or at a lab.
+ Experience contributing research to communities or efforts, including publishing papers in conferences or journals.
+ Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
+ Ability to speak and write in English fluently.
The Student Researcher Program's primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on research projects.
The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don't always have a clear deliverable like a traditional internship would.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
+ Participate in research to develop solutions for real-world, large-scale problems.
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Student research assistant job description example 2
Brigham and Women's Hospital student research assistant job description
GENERAL SUMMARY/OVERVIEW STATEMENT:
The Student / Temporary Research Assistant (STRA) will work under the direction of the Director of Biostatistics within the Program in Sleep Medicine Epidemiology in the Division of Sleep and Circadian Disorders and in a dynamic research group. The STRA will perform data analysis using R software, including data visualization, regression models, report of summary measures, and assessment of model fit. The STRA will implement transparent reproducible reports using Rmarkdown or Jupyter notebooks, document methods and results, and help draft figures, tables, and text in preparation for publication of manuscripts. Anticipated analyses will use genetics- and omics-based biomarkers to develop screening and risk prediction models.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
Responsible for the following:
* Wrangle datasets to prepare for analysis (recode variables as necessary, evaluate missingness in the data).
* Visualize variables and association between variables to inform of appropriate analysis approaches.
* Construct genetics and omics risk scores using standard software.
* Implement linear and logistic regression models using standard and survey packages.
* Prepare tables summarizing data and analysis results.
* Document data processing and statistical methods.
* Performs all other duties as assigned.
QUALIFICATIONS:
* High school diploma required.
* Currently enrolled in an undergraduate degree program.
* Experience working with genetic data.
* Interest in public health.
SKILLS/ABILITIES/COMPETENCIES REQUIRED:
* Ability to work with R software to perform data visualization and data analysis.
* Ability to interact with and learn from others.
* Ability to work with genetic data files using a standard software.
* Able to prioritize tasks in a busy academic research office.
* Follows directions and works with careful attention to detail.
* Accepts responsibility for assignments and manages time efficiently.
* Demonstrates initiative and sound judgment.
* Maintains a positive working environment and works cooperatively with supervisors and co-workers.
* Exhibits good organizational and communication skills.
WORKING CONDITIONS:
Position is hybrid, with some time spent in the office and some remote work, to be discussed at interview.
The Student / Temporary Research Assistant (STRA) will work under the direction of the Director of Biostatistics within the Program in Sleep Medicine Epidemiology in the Division of Sleep and Circadian Disorders and in a dynamic research group. The STRA will perform data analysis using R software, including data visualization, regression models, report of summary measures, and assessment of model fit. The STRA will implement transparent reproducible reports using Rmarkdown or Jupyter notebooks, document methods and results, and help draft figures, tables, and text in preparation for publication of manuscripts. Anticipated analyses will use genetics- and omics-based biomarkers to develop screening and risk prediction models.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
Responsible for the following:
* Wrangle datasets to prepare for analysis (recode variables as necessary, evaluate missingness in the data).
* Visualize variables and association between variables to inform of appropriate analysis approaches.
* Construct genetics and omics risk scores using standard software.
* Implement linear and logistic regression models using standard and survey packages.
* Prepare tables summarizing data and analysis results.
* Document data processing and statistical methods.
* Performs all other duties as assigned.
QUALIFICATIONS:
* High school diploma required.
* Currently enrolled in an undergraduate degree program.
* Experience working with genetic data.
* Interest in public health.
SKILLS/ABILITIES/COMPETENCIES REQUIRED:
* Ability to work with R software to perform data visualization and data analysis.
* Ability to interact with and learn from others.
* Ability to work with genetic data files using a standard software.
* Able to prioritize tasks in a busy academic research office.
* Follows directions and works with careful attention to detail.
* Accepts responsibility for assignments and manages time efficiently.
* Demonstrates initiative and sound judgment.
* Maintains a positive working environment and works cooperatively with supervisors and co-workers.
* Exhibits good organizational and communication skills.
WORKING CONDITIONS:
Position is hybrid, with some time spent in the office and some remote work, to be discussed at interview.
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Student research assistant job description example 3
Partners Healthcare Group student research assistant job description
GENERAL SUMMARY/OVERVIEW STATEMENT:
The Student / Temporary Research Assistant (STRA) will work under the direction of the Director of Biostatistics within the Program in Sleep Medicine Epidemiology in the Division of Sleep and Circadian Disorders and in a dynamic research group. The STRA will perform data analysis using R software, including data visualization, regression models, report of summary measures, and assessment of model fit. The STRA will implement transparent reproducible reports using Rmarkdown or Jupyter notebooks, document methods and results, and help draft figures, tables, and text in preparation for publication of manuscripts. Anticipated analyses will use genetics- and omics-based biomarkers to develop screening and risk prediction models.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
Responsible for the following:
* Wrangle datasets to prepare for analysis (recode variables as necessary, evaluate missingness in the data).
* Visualize variables and association between variables to inform of appropriate analysis approaches.
* Construct genetics and omics risk scores using standard software.
* Implement linear and logistic regression models using standard and survey packages.
* Prepare tables summarizing data and analysis results.
* Document data processing and statistical methods.
* Performs all other duties as assigned.
QUALIFICATIONS:
* High school diploma required.
* Currently enrolled in an undergraduate degree program.
* Experience working with genetic data.
* Interest in public health.
SKILLS/ABILITIES/COMPETENCIES REQUIRED:
* Ability to work with R software to perform data visualization and data analysis.
* Ability to interact with and learn from others.
* Ability to work with genetic data files using a standard software.
* Able to prioritize tasks in a busy academic research office.
* Follows directions and works with careful attention to detail.
* Accepts responsibility for assignments and manages time efficiently.
* Demonstrates initiative and sound judgment.
* Maintains a positive working environment and works cooperatively with supervisors and co-workers.
* Exhibits good organizational and communication skills.
WORKING CONDITIONS:
Position is hybrid, with some time spent in the office and some remote work, to be discussed at interview.
The Student / Temporary Research Assistant (STRA) will work under the direction of the Director of Biostatistics within the Program in Sleep Medicine Epidemiology in the Division of Sleep and Circadian Disorders and in a dynamic research group. The STRA will perform data analysis using R software, including data visualization, regression models, report of summary measures, and assessment of model fit. The STRA will implement transparent reproducible reports using Rmarkdown or Jupyter notebooks, document methods and results, and help draft figures, tables, and text in preparation for publication of manuscripts. Anticipated analyses will use genetics- and omics-based biomarkers to develop screening and risk prediction models.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
Responsible for the following:
* Wrangle datasets to prepare for analysis (recode variables as necessary, evaluate missingness in the data).
* Visualize variables and association between variables to inform of appropriate analysis approaches.
* Construct genetics and omics risk scores using standard software.
* Implement linear and logistic regression models using standard and survey packages.
* Prepare tables summarizing data and analysis results.
* Document data processing and statistical methods.
* Performs all other duties as assigned.
QUALIFICATIONS:
* High school diploma required.
* Currently enrolled in an undergraduate degree program.
* Experience working with genetic data.
* Interest in public health.
SKILLS/ABILITIES/COMPETENCIES REQUIRED:
* Ability to work with R software to perform data visualization and data analysis.
* Ability to interact with and learn from others.
* Ability to work with genetic data files using a standard software.
* Able to prioritize tasks in a busy academic research office.
* Follows directions and works with careful attention to detail.
* Accepts responsibility for assignments and manages time efficiently.
* Demonstrates initiative and sound judgment.
* Maintains a positive working environment and works cooperatively with supervisors and co-workers.
* Exhibits good organizational and communication skills.
WORKING CONDITIONS:
Position is hybrid, with some time spent in the office and some remote work, to be discussed at interview.
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Updated March 14, 2024
Updated March 14, 2024