Are you passionate about public health and investigating structural determinants of cancer risk, HIV, aging, and mental health? Do you have a Master's or doctoral degree in Epidemiology, Biostatistics, Health Services Research, Medical Sociology, or a related quantitative field? We are looking for a Data Analyst to join our dynamic interdisciplinary team at a leading academic institution.

As a Data Analyst, you will work closely with Dr. Zinzi Bailey, Assistant Professor in the Department of Medicine, to conduct advanced statistical analyses utilizing multilevel, longitudinal, and/or spatial data. You will create and manage large databases and contribute to peer-reviewed manuscripts and grants. Additionally, you will collaborate with a team of researchers and partners outside the university to investigate social determinants of racial/ethnic inequities in health.

The ideal candidate has experience analyzing multilevel and/or time-varying longitudinal data (especially incorporating U.S. Census Data) and a demonstrated interest in racial/ethnic inequities in health. Familiarity with GIS is a plus.

At our institution, we value excellence, diversity, and innovation. As such, we offer opportunities for remote and/or hybrid work and provide a supportive and inclusive work environment that fosters growth and professional development. If you have strong analytical and problem-solving skills, excellent data management skills, and the ability to set and meet deadlines, we encourage you to apply for this exciting opportunity.

Qualifications

Master's or doctoral degree preferred in Epidemiology, Biostatistics, Health Services Research, Medical Sociology, or a related quantitative field

Advanced analytical skills and proficiency in SAS, Stata, or R programming to analyze multilevel and longitudinal data

Intermediate GIS analytic skills - a plus

Familiarity with obtaining U.S. Census and other administrative data

Demonstrated commitment to investigating social determinants of racial/ethnic inequities in health

Well-developed research skills including the ability to execute searches using relevant search terms and synthesize data from multiple sources

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