University OverviewThe University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023.Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.Posted Job TitleTemporary Senior Research InvestigatorJob Profile TitleTemporary Employee - Non-ExemptJob Description SummaryTemporary Senior Research Investigator (SRI) supports innovative research and health policy-related research projects conducted by investigators in the Division of Health Policy at the Perelman School of Medicine.Job Description
The Temporary Senior Research Investigator (SRI) supports innovative research and health policy-related research projects conducted by investigators in the Division of Health Policy at the Perelman School of Medicine. Using advanced skills in applied statistics, the SRI will lead and assist others in performing analyses for several studies within The Parity Center. Duties include creating and executing statistical analysis plans for research projects; performing propensity matching and other matching techniques; conducting complex statistical analyses, including multilevel analyses, longitudinal analyses, and analyses involving modern methods of causal inference including instrumental variables; and working with faculty to develop and publish novel statistical methods that advance The Parity Center's mission.
The SRI must have the ability to work across a wide range of statistical and computer programming tools (SAS, STATA, R, SQL and Python), which are important to enable innovative research. The individual must have experience using Centers for Medicare & Medicaid Services data and must have experience with propensity matching and other matching methodology. Doctor of Medicine, Doctor of Philosophy, and 5 to 7 years of postdoctoral experience is required.
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