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How to Apply

To apply please submit the following in this order as one document: 1) a cover letter detailing previous research and modeling experience and interest in this position, 2) a current CV and 3) a list of three references. 

Job Summary

The department of epidemiology has an active research program to integrate mathematical modeling with community-based surveillance to understand the spread of influenza and SARS-CoV-2. The ideal candidate for this position will be an individual with extensive experience in the analysis of complex infectious disease datasets and who is interested in contributing to high-impact, applied research assessing the impact of vaccination and non-pharmaceutical interventions at the local, state, and national level. This individual will join a multidisciplinary and highly-collaborative research environment and will work closely with Dr. Jon Zelner, as well as Drs. Emily Martin and Marisa Eisenberg.


Carry out analytic projects independently and under the direction of the principal investigator. Develop and implement statistical and simulation models of infectious disease incidence and transmission using multi-level spatial and hierarchical datasets. 

Conduct relevant reviews of the scientific literature. Prepare manuscripts for publication in peer-reviewed journals as lead author. Contribute to manuscripts led by others. 

Coordinate project goals and deliverables with the priorities of state, local, and national public health partners. Assist with preparation of updates on project progress for funding organizations.

Supervise students and hourly research employees in appropriate data collection. Provide oversight and guidance for student analytic projects. 

Required Qualifications*

Doctorate in epidemiology, ecology, statistics, or a related field. 4-5 years of experience conducting basic or applied infectious disease research. Demonstrated experience analyzing complex population-based and cohort datasets using hierarchical models using R. Demonstrated experience in transmission modeling and supervisory experience of students and staff. Strong scientific writing and oral presentation skills are necessary for the individual who fills this position.

Desired Qualifications*

2+ years experience collaborating with multi-disciplinary, distributed teams and experience supervising the research of graduate students and hourly research staff. Knowledge and experience implementing and analyzing hierarchical Bayesian models using Stan. 

Additional Information

This position is term-limited for one year with the possibility of extension contingent on availability of

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.

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 are now required for all University of Michigan students, faculty and staff across all three campuses, including Michigan Medicine.  This includes those working or learning remotely.  More information on this policy is available on the Campus Blueprint website or the U-M Dearborn and U-M Flint websites.