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Data Scientist Research Assistant Jobs (NOW HIRING)

The Principal Data Scientist, R&D Oncology will support how we advance data capture, build and optimize data workflows and store data by designing and implementing engineering requirements. This role ...

The Principal Data Scientist, R&D Oncology will support how we advance data capture, build and optimize data workflows and store data by designing and implementing engineering requirements. This role ...

The Principal Data Scientist, R&D Oncology will support how we advance data capture, build and optimize data workflows and store data by designing and implementing engineering requirements. This role ...

The Principal Data Scientist, R&D Oncology will support how we advance data capture, build and optimize data workflows and store data by designing and implementing engineering requirements. This role ...

Data Scientist

Durham, NC · Remote

$51 - $58/hr

Utilize the Amadeus R-package to support data sourcing and environmental research workflows * Develop and maintain interactive R Shiny dashboards for HEW datasets and scientific reporting * Assist ...

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How much do data scientist research assistant jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for data scientist research assistant in the United States is $39.02, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $59.62 per hour, depending on experience, location, and employer.

What are Data Scientist Research Assistants?

Data Scientist Research Assistants are professionals who support data scientists in conducting research projects by collecting, cleaning, and analyzing large datasets. They help design experiments, implement statistical models, and interpret results to draw meaningful conclusions. Their work often involves using programming languages like Python or R, as well as machine learning tools to assist in developing research insights. These assistants may also contribute to writing research papers and preparing presentations of findings.

What are some common challenges faced by Data Scientist Research Assistants when working with large datasets?

Data Scientist Research Assistants often encounter challenges such as managing data quality, dealing with incomplete or inconsistent data, and optimizing code for efficient data processing. Working with large datasets can also require familiarity with specialized tools and cloud platforms to ensure smooth data storage and retrieval. Collaborating closely with senior data scientists and researchers, you may also need to communicate complex findings in a clear, actionable way to both technical and non-technical team members.

What are the key skills and qualifications needed to thrive as a Data Scientist Research Assistant, and why are they important?

To thrive as a Data Scientist Research Assistant, you need a solid understanding of statistics, data analysis, and programming—often supported by a degree in computer science, statistics, or a related field. Familiarity with technical tools such as Python, R, SQL, and data visualization platforms, along with experience using machine learning libraries, is typically required. Strong analytical thinking, problem-solving, and effective communication skills help you interpret results and collaborate with research teams. These competencies are essential to support rigorous, data-driven research and ensure the accuracy and clarity of findings.

What is the difference between Data Scientist Research Assistant vs Data Analyst?

AspectData Scientist Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness, finance, marketing, or healthcare industries
Employer & Industry UsageUniversities, research institutes, tech companiesCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding roles in research projects, academic workAnalyzing data for business insights, reporting

The Data Scientist Research Assistant typically works in research-focused environments, supporting data collection and analysis for academic or scientific projects. In contrast, Data Analysts focus on interpreting data to inform business decisions. While both roles require strong analytical skills, the research assistant often has a more academic or scientific focus, whereas data analysts are more industry-oriented.

What cities are hiring for Data Scientist Research Assistant jobs? Cities with the most Data Scientist Research Assistant job openings:
What are the most commonly searched types of Data Scientist Research jobs? The most popular types of Data Scientist Research jobs are:
What states have the most Data Scientist Research Assistant jobs? States with the most job openings for Data Scientist Research Assistant jobs include:
Research Track Faculty Position (Cancer Data Science [CDS]/Radiology)

Research Track Faculty Position (Cancer Data Science [CDS]/Radiology)

University of Michigan

Ann Arbor, MI • On-site

Full-time

Posted 9 days ago


University Of Michigan rating

8.1

Company rating: 8.1 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

132nd of 539 rated colleges and universities


Job description

Description
General Information: The Department of Biostatistics at the University of Michigan is seeking applicants for a Research Assistant Professor or Assistant Research Scientist or Research Investigator faculty positions. A particular focus of this search is on candidates who are interested in biostatistical research aligned with the Cancer Data Science (CDS) Shared Resource (https://sph.umich.edu/cds/) and Department of Radiology at University of Michigan. CDS fosters active engagement and collaboration geared towards development and application of rigorous biostatistical methodologies to data emerging from cancer-focused studies across the spectrum of basic, clinical and population sciences research at the Rogel Cancer Center at University of Michigan. Specifically, the focus will be on developing and implementing quantitative methodologies for biological and clinical data that include, but not limited to, radiology-based and spatial imaging-based investigations. Candidates must have a strong research background with a doctoral degree in biostatistics, statistics, mathematics, the computational sciences or a related field. Candidates being considered for this position will be expected to develop an outstanding research program. Excellent candidates with other research focus will also be considered and are encouraged to apply.
Underfill Statement: This position is posted as Research Assistant Professor/Assistant Research Scientist/Research Investigator. The rank of the selected candidate will depend upon the candidate's qualifications. For more information regarding appointment criteria for these job titles, please visit https://research.umich.edu/policies-on-appointments-and-promotions-for-research-scientist-track/.
Department Information: The Department of Biostatistics has 45 primary faculty members and 295 full-time PhD and Master's students. The Department is involved in cutting edge methodological research and scientific investigation in many areas of public health and biomedical research. The Department has close ties with the Department of Statistics, the Institute for Social Research, the Medical School, the Michigan Institute for Data Science, The Institute of Health Policy and Innovation, the University of Michigan Rogel Cancer Center, and other research groups across campus.
The University of Michigan offers competitive salaries and excellent benefits. Ann Arbor is a progressive city of about 118,000 year-round residents, and approximately 53,000 students, with excellent schools and a wide variety of sporting and musical activities. It is rated very highly in national surveys for its quality of life and has the amenities of a city many times its size.
The University of Michigan is an affirmative action/equal opportunity employer. Applications from women and minorities are welcomed and strongly encouraged.
Qualifications
Candidates must have a strong research background with a doctoral degree in biostatistics, statistics, mathematics, the computational sciences or a related field. Candidates being considered for this position will be expected to develop an outstanding research program. Excellent candidates with other research focus will also be considered and are encouraged to apply.
Application Instructions
Consideration of applications will begin on a rolling basis. Interested applicants should submit their CV, a statement of research interest, the names of three references, and academic transcripts (if a recent graduate) at http://apply.interfolio.com/157251.
Questions or Concerns: Interested candidates can contact the University of Michigan Department of Biostatistics at UM.Biostat.Recruitment@umich.edu or Veera Baladandayuthapani (veerab@umich.edu), Director of CDS.

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About University of Michigan

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The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

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Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

Year founded

1817

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