Assistant Professor of Epidemiology, Research Track

Assistant Professor of Epidemiology, Research Track

Location: Philadelphia, PA
Open Date: Sep 19, 2025
Deadline: 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.

Research or scholarship responsibilities may include demonstrated ability to lead peer-reviewed publications in clinical trials methodology and support multi-site collaborative research projects.

The Center for Clinical Trials Innovation in the Division of Epidemiology, Department of Biostatistics, Epidemiology, and Informatics, in collaboration with the Palliative and Advanced Illness Research Center, seeks candidates with a PhD in Statistical Epidemiology, Biostatistics, Statistics, or a closely related quantitative field, with 1+ years of postdoctoral experience.