Research Area Specialist Associate

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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.

Summary

The Department of Epidemiology at the University of Michigan (UM) is seeking an experienced analyst to join a NIH-funded project focused on understanding depression and suicide risk over the lifespan. This project, the Aging, Transitions over the Lifespan and Suicide (ATLAS) Study, examines how major transitions in work, housing, health, and social life relate to suicide risk by leveraging several cohort studies and population-based registries. The ATLAS Study integrates different disciplinary approaches to public mental health research through a team of faculty collaborators from Michigan Medicine, the Institute for Social Research (ISR), the School of Public Health, and the School of Information. 

The person who fills this position should value working independently and efficiently, as well as collaborating with an interdisciplinary team. The candidate will interact with faculty from all three schools mentioned above to implement a computational, data-driven analysis of major life transitions using text and quantitative data. The candidate will have opportunities to engage with students and collaborate with other faculty and across the university, including with the School of Information and ISR. This position may allow for remote or hybrid work. 

Responsibilities*

  • Implement various analysis strategies to perform policy and epidemiological analysis of large population studies. Generate documentation related to these analyses. 
  • Co-author research papers and manuscripts for publication and collaborate in the development of posters and data presentations.
  • Work closely with an interdisciplinary research team on interpreting findings for a public health audience.
  • Perform data management and data cleaning for large population studies, including quality control of policy and survey data, recording documentation of the procedures performed.
  • Provide guidance and support to graduate public health students that are working with the research team. 
  • Other duties as assigned.

Required Qualifications*

Bachelor’s degree in quantitative discipline (Statistics, Data Science, Epidemiology, Sociology, Psychology or a related field) and 1-3 years work experience analyzing survey, administrative or similar health data. Strong statistical programming skills (in SAS, R and/or STATA) and interest in learning additional programming tools (e.g., Natural Language Processing). 

Additional Information

This is a one-year, term-limited position, with the possibility of extension dependent on funding and performance.

Michigan Public Health is seeking a dynamic staff member with a commitment to contributing to a diverse, equitable, and inclusive environment for all members of our community.

Background Screening

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks.  Background checks are performed in compliance with the Fair Credit Reporting Act.

Application Deadline

Job openings are posted for a minimum of seven calendar days.  The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.


U-M COVID-19 Vaccination Policy

COVID-19 vaccinations, including boosters when eligible, are required for all University of Michigan students, faculty and staff across all campuses, including Michigan Medicine.  This includes those working remotely.   More information on this new policy is available on the Campus Blueprint website or the UM-Dearborn and UM-Flint websites.