Assist with cleaning, harmonization, aggregation and statistical analysis of clinical data for a large ophthalmology repository. Support researchers performing health services, population health and outcomes research related to vision. Perform data extraction; assist with data management and database building; maintain dashboards to coordinate data intake and processing; coordinate incoming data into the repository from different sources and staff members; obtain data directly from patient electronic health records to integrate into the repository; prepare grant proposal submissions; perform analyses for manuscripts and journal publications; and assist with regulatory, compliance, and IRB paperwork. Up to 100% remote work permitted.

Requires Master's degree in Statistics or Biostatistics + 2 years of experience curating and performing statistical analysis of electronic health record data; working with large datasets exceeding 20 million electronic health record encounters; using R, Python, and SQL for data analysis and visualization, including base R plot, ggplot, or matplotlib; performing statistical tests (including t-tests and chi-square tests); linear and logistic regression modeling and survival analyses; and performing analyses for manuscripts and journal publications.

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 the work modes.

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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.

The University of Michigan is an equal employment opportunity employer.