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Data Analyst
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- Leveraging and integrating the University of Chicago’s considerable institutional strength in population science with research spanning diverse fields such as genetic medicine, cancer epidemiology, microbiome, and epigenomics, the Institute will have the common goal of improving human health outcomes.
- Another major goal of the Institute will be to develop a new multidisciplinary training program to equip researchers with emerging tools and methods to conduct precision health research within a population health framework.
- Our faculty lead research projects in biostatistics, epidemiology and health services research and participate in interdisciplinary teams with faculty in other departments to address complex problems in health and healthcare, in our communities and around the globe.
- The main responsibility includes supporting research operations for our entire institute, mostly using the Python data science stack (e.g. Pandas) and SQL. You will be expected to work with our research and data science team on a variety of tasks, from maintaining and expanding our ETL pipeline, written in Python and Pandas, to querying our Epic Clarity data warehouse, to conducting routine statistical analysis.
- Strong proficiency in the Python data science stack.
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