Assistant Professor of Epidemiology, Research Track

University of Pennsylvania; Philadelphia (Philadelphia County); On-site; USD 70,000 - 100,000; Full time

Job summary

A leading research university in Philadelphia is seeking an Assistant Professor in the Department of Biostatistics and Epidemiology. The successful candidate will have a strong background in Bayesian methods and clinical trial design. Responsibilities include leading research projects, publishing in top-tier journals, and collaborating with clinicians. A Ph.D. in a relevant field and postdoctoral experience are required. This role offers an opportunity to contribute to innovative research in biostatistics and clinical trials.

Qualifications

• Expertise in statistical design and analysis of randomized clinical trials.
• Experience supporting large-scale trials and clinical research networks.
• Ability to lead peer-reviewed publications in clinical trials.

Responsibilities

• Lead and publish high-impact research in biostatistics and clinical trials.
• Support ongoing randomized trials and trial methodology awards.
• Provide statistical expertise and leadership to research teams.

Skills

Bayesian statistical methods

Causal inference

Machine learning

Statistical programming (R, Python, Stan/BUGS)

Clinical trial simulation

Analyzing patient-reported outcomes

Education

Ph.D. in Statistical Epidemiology or related field

Tools

Overleaf/LaTeX

GitHub

Job description

Overview

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.

Qualifications and Responsibilities

• 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. The ideal candidates will be outstanding early-career researchers who will advance innovative clinical trial methodologies and lead cutting-edge research in the statistical design, analysis, monitoring, and interpretation of complex multi-arm, cluster, pragmatic, Bayesian, adaptive, and platform randomized trials. These faculty will be expected to lead and publish high-impact research in top-tier biostatistics, clinical trial, and clinical research journals; support, prepare, and submit grant applications; and support ongoing randomized trials and trial methodology awards with Penn faculty and external partners. In these roles, they will serve as lead biostatisticians on multi-center randomized clinical trials and methodology projects and grants, develop and evaluate composite outcome measures and interpretation frameworks, apply causal inference methods to augment experimental data interpretation, and provide independent statistical expertise and leadership to research teams.

The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.