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Data Science Research Assistant Jobs in Michigan

Wayne State University

Research Assistant

Detroit, MI · On-site

$19 - $26.25/hr

... data collection efforts for one or more research projects - may include other collaborating ... MINIMUM QUALIFICATONS * Bachelor's Degree in any area of social science research (including ...

Insight

Clinical Research Assistant

Flint, MI · On-site

... scientific research and advanced technology, driven by a passion to help others regardless of any ... Complete Data Entry for studies both in sponsor EDC and CTMS * Ensure all paper sources are filed ...

Insight

Clinical Research Assistant

Flint, MI

... scientific research and advanced technology, driven by a passion to help others regardless of any ... Complete Data Entry for studies both in sponsor EDC and CTMS * Ensure all paper sources are filed ...

Wayne State University

Research Assistant

Detroit, MI · On-site

$42K/yr

Collect, manage, and analyze data from fieldwork and community engagement to inform ongoing ... Background in environmental science, biological science, environmental stewardship, green ...

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Data Science Research Assistant information

What does a data science research assistant do?

A Data Science Research Assistant supports research projects by gathering, cleaning, and analyzing data using statistical and computational techniques. They assist senior researchers with designing experiments, developing models, and interpreting results. Typical tasks include data preprocessing, coding in languages like Python or R, literature reviews, and creating visualizations to summarize findings. Their work helps advance scientific knowledge and inform decision-making based on data-driven insights.

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

AspectData Science Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or higher in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, marketing firms, finance, healthcare
Common Search & ComparisonYesNo

Data Science Research Assistants typically focus on supporting research projects through data collection, analysis, and modeling in academic or research settings. Data Analysts primarily interpret data to help organizations make business decisions. While both roles require strong analytical skills and knowledge of data tools, the research assistant role emphasizes academic research and experimentation, whereas data analysts focus on business insights and reporting.

What are the key skills and qualifications needed to thrive as a data science research assistant?

To thrive as a Data Science Research Assistant, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or related fields). Familiarity with tools such as Python, R, Jupyter Notebooks, and data visualization libraries as well as experience with version control systems like Git is typical, and coursework or certifications in data science can be beneficial. Attention to detail, problem-solving ability, and strong communication skills are essential to effectively analyze data, interpret results, and collaborate with research teams. These skills and qualities are critical for producing reliable insights, supporting research objectives, and ensuring the integrity of data-driven projects.

How does a data science research assistant typically collaborate with other team members during a research project?

Data Science Research Assistants frequently work alongside data scientists, research leads, and subject matter experts to support ongoing research. Their responsibilities often include cleaning and preprocessing data, performing exploratory analyses, and implementing models. Regular collaboration occurs through team meetings, code reviews, and sharing findings, ensuring alignment with project goals. Open communication and adaptability are essential, as priorities and datasets can shift based on project needs.
What are popular job titles related to Data Science Research Assistant jobs in Michigan? For Data Science Research Assistant jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Science Research Assistant jobs in Michigan look for? The top searched job categories for Data Science Research Assistant jobs in Michigan are:
What cities in Michigan are hiring for Data Science Research Assistant jobs? Cities in Michigan with the most Data Science Research Assistant job openings:
Data Science Research Assistant jobs near you
Infographic showing various Data Science Research Assistant job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

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

University of Michigan

Ann Arbor, MI • On-site

Full-time

Re-posted 29 days ago

University Of Michigan rating

8.1

Company rating: 8.1 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

160th of 617 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.
Equal Employment Opportunity Statement
The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities."

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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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10,000+ Employees

Headquarters location

Ann Arbor, MI, US

Year founded

1817

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