The Department of Genetics is in search for a postdoctoral research associate to investigate innovative methods for linking environmental data, clinical research data, and EHR and other real world data in a secure cloud environment to support biomedical research. Specifically, this will include the refinement of clinical research data models, development of ingest and QA/QC pipelines, and support for geospatial data visualization. The work will be performed in several cloud and/or on-premises environments and requires human subjects research training. The goals of the work will be to develop new methods and scientific inquiries into exposomics and environmental components of disease.
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Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree