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  • Research Analyst

    University of Michigan (Ann Arbor, MI)



    Apply Now

    Research Analyst

     

    How to Apply

     

    Interested individuals should submit as one PDF document: 1) a cover letter outlining their interest and experience in relation to this posting and 2) resume.

    Job Summary

    The Michigan Public Health Integrated Center for Outbreak Analytics and Modeling (MICOM) housed in the Department of Epidemiology at the University of Michigan School of Public Health is seeking an independent and motivated Research Analyst to join our team. The Centers for Disease Control are funding MICOM as part of an outbreak response network, with the goal of using data to support decision makers during public health emergencies. Co-Directors Drs. Marisa Eisenberg and Emily Martin and their colleagues have an active research program to integrate mathematical modeling with community-based surveillance to understand various facets of public health. The ideal candidate for this position will be an individual with experience collaborating with local or state public health organizations and independently managing data analysis projects using the R programming language. This is a full-time position and provides the successful applicant with an opportunity to contribute to the Center's work in building relationships with local public health departments and developing analyses or other tools with the MI-Support program.

     

    Within MI-Support, a successful applicant will be part of a small, agile team responsible for responding to partner projects with local health departments. These projects will be related to data analysis, modeling, forecasting, and data visualization. They will take on projects that are larger in scope and complexity, and may be asked to travel for extended periods of time in order to complete those projects. They will also support state and local public health capacity building by training public health practitioners in analytics and modeling.

    Responsibilities*

    + Perform statistical analyses, develop data visualizations, and create data pipeline systems to confirm data quality, as determined by the projects undertaken by the MI-Support program.

    + Coordinate MI-Support analytics and computational modeling projects at the request of local health departments and MI-Support leadership. Build and maintain relationships with local health department team members. Work collaboratively with MICOM staff to complete projects. Handle multiple complex projects. Assist with tracking health department requests and help MI-Support leadership track progress on assigned projects.

    + Create or update detailed system documentation including documentation of program code, data dictionaries, and functional processes.

    + Support training efforts in analytics and modeling with local health department staff. Assist with developing training agendas and materials, and provide on-site support during training.

    + Provide ad hoc quality assurance and control support for other MICOM investigators and teams. Responsible for data uploads to stakeholder systems as needed or requested.

    + At the discretion of Center leadership, provide assistance with other research-related tasks.

    Required Qualifications*

    + Master's Degree in public health, epidemiology, or related health science field is required.

    + 2-4 years of relevant data analysis experience is required.

    + Experience working in a team environment with collaborators and professionals and knowledge of how to build relationships with external partners.

    + Demonstrable experience using R or Python (R preferred) for data processing and/or statistical analysis; ability to work independently in R or Python (R preferred) with limited supervision.

    + Strong organizational skills including experience prioritizing tasks and being able to balance multiple projects and timelines.

     

    Modes of Work

     

    This position allows for a hybrid work schedule. The selected candidate will be expected to work on-site 3-4 days per week at the offices in the School of Public Health based on business needs.

     

    Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about thework modes (https://hr.umich.edu/working-u-m/my-employment/ways-we-work-resource-center/ways-we-work-implementation-group/modes-work) .

     

    Additional Information

     

    This position is term-limited for one year in duration from the start of the appointment, with the possibility of extension contingent on funding and performance.

     

    Michigan Public Health is seeking a dynamic staff member with a commitment to contributing to a welcoming environment for all members of our community.

     

    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 Statement

     

    The University of Michigan is an equal employment opportunity employer.

     

    Job Detail

     

    Job Opening ID

     

    272043

     

    Working Title

     

    Research Analyst

     

    Job Title

     

    Research Analyst

     

    Work Location

     

    Ann Arbor Campus

     

    Ann Arbor, MI

     

    Modes of Work

     

    Hybrid

     

    Full/Part Time

     

    Full-Time

     

    Regular/Temporary

     

    Regular

     

    FLSA Status

     

    Exempt

     

    Organizational Group

     

    School Pub Health

     

    Department

     

    Epidemiology Department

     

    Posting Begin/End Date

     

    12/19/2025 - 1/11/2026

     

    Salary

     

    $55,602.00 - $68,684.00

     

    Career Interest

     

    Research

     


    Apply Now



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