Applicants must have a broad knowledge of statistical, epidemiological, and programming procedures, and the ability to collaborate with faculty and staff regarding analytic, statistical, programming, or other methodological issues. Responsibilities include:
Apply epidemiologic and statistical methods to evaluate associations and outcomes, including (but not limited to) regression modeling.
Design, test, and debug reproducible programs in SAS, and R to create analysis-ready datasets;
Produce tables, figures, dashboards, and written summaries for manuscripts, grants, stakeholders, and funders (e.g., CDC/MDHHS) using tools such as R Shiny, Tableau, Excel;
Contributing intellectually to the design, programming, analysis, reporting, and dissemination of research projects, potentially as a co-author of abstracts and manuscripts.