Statistical Analyst Senior; Intermediate Underfill
Listed on 2026-01-14
-
Healthcare
Data Scientist -
Research/Development
Data Scientist
Company: University of Michigan
Location: Ann Arbor, MI
Employment Type: Full Time
Date Posted: 01/11/2026
Job Categories:Computers, Software, Healthcare, Other, Healthcare, Practitioner and Technician, Medical
Job Description
Statistical Analyst Senior (Intermediate Underfill)How to Apply
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.
Job SummaryThis position involves analytical, and statistical activities for research within the Department of Psychiatry. The Statistical Analyst will play a critical role in a multi-method public health research initiative examining the intersection of alcohol use, firearm access, and suicide risk. The successful candidate will be responsible for managing, analyzing, and interpreting data from national surveys and ecological momentary assessments (EMA), as well as integrating information from additional relevant datasets or collaborative projects, as needed.
The Statistical Analyst must understand research complexities and possess the flexibility to work across diverse sources of data, applying advanced problem-solving techniques that leverage both existing and emerging scientific knowledge. They will generate actionable insights for risk identification, intervention development, and dissemination of findings relevant to suicide prevention efforts, and may contribute analytical expertise to other departmental studies or interdepartmental research initiatives.
Join Michigan Medicine?
Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world’s most distinguished academic health systems.
In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.
What Benefits can you Look Forward to?
- Excellent medical, dental and vision coverage effective on your very first day
- 2:1 Match on retirement savings
This position involves a wide range of tasks including statistical analysis using both existing and newly collected data from national surveys and EMAs. The Statistical Analyst will also be expected to provide statistical training and guidance to collaborators. The Statistical Analyst will work with a multidisciplinary team of researchers across survey, qualitative, and EMA methods using various platforms and data collection software;
occasional travel or remote meeting participation may be required. Specifically, the position includes the following responsibilities:
Statistical Analysis (50%)
- Develop and draft project specific analysis plans
- Independently execute advanced statistical analyses, and interpret results to identify key trends, risk factors, and associations within complex datasets, supporting research hypotheses and informing strategic decisions
- Conduct power analyses, simulation studies, and moderator/mediator analytics to deepen the understanding of risk pathways and variability
- Address research complexities by developing creative solutions to data challenges and applying up-to-date scientific techniques
Reporting, Visualization, and Dissemination (15%)
- Prepare comprehensive statistical reports and data visualizations (e.g., charts, tables, dashboards) to communicate findings to team members, stakeholders, and for publication
- Contribute to the preparation and writing of manuscripts, abstracts, and presentations for academic and lay audiences
Data Management and Preparation (15%)
- Use statistical software (e.g., SAS, R, SPSS) to create and run scripts that clean, organize, and combine large datasets from different sources, ensuring the data is accurate and ready for analysis
- Ensure data integrity, thorough…
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