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Assistant Professor of Epidemiology, Research Track
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What they do
A Research Assistant assists with a research program or project. Works in a variety of fields within science or the social sciences, in programs based at a university or research institution, or works on government or industry sponsored research projects. Conducts field or library research or recruits participants for a study; may also assist with legal research. Typically conduct research under the guidance of senior researchers or professors. These roles are often held by undergraduate or graduate students pursuing degrees in relevant fields, or individuals with relevant work experience.
$50,716 / year median in Pennsylvania
Job Description
Assistant Professor of Epidemiology, Research Track Location:
Philadelphia, PA Open Date:
Sep 19, 2025Deadline:
Sep 19, 2027 at 11:59 PM Eastern Time The Department of Biostatistics and Epidemiology at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for several Assistant Professor positions in the non-tenure research track. Expertise is required in the specific area of the statistical design and analysis of randomized clinical trials. Applicants must have a Ph.D. or equivalent degree.Additional qualifications include:
- A strong background and expertise in Bayesian statistical methods, causal inference, machine learning, pragmatic trial designs with cluster-randomization methods, and complex missing data methodology.
- Expertise in statistical programming (R, Python, Stan/BUGS).
- Proficiency with clinical trial simulation to support both methodological research and the initial design and subsequent modification of trials.
- Experience supporting large-scale trials, clinical research networks, and/or data and safety monitoring board statistical activities.
- Experience collaborating with clinician-scientists, particularly physician-scientists.
- Proficiency in analyzing and interpreting patient-reported outcome measures such as quality-of-life endpoints, including handling of missing data such as that due to non-response, death, or other intercurrent events.
- Demonstrated aptitude working with state-of-the-art computing infrastructure, Overleaf/LaTeX, GitHub, and supporting reproducible research pipelines.
Benefits
- Dental Insurance