Postdoctoral Scholar - Public Health Sciences

The Department of Public Health Sciences, Division of Biostatistics and Bioinformatics, at Penn State College of Medicine in Hershey, PA invites applications for a Postdoctoral Scholar position in biostatistics, statistics, or a closely related quantitative field.

About the role

The position will focus on the development of next-generation statistical methods and software for adaptive clinical trial designs, with an emphasis on early-phase oncology trials. The Postdoctoral Scholar will work under the mentorship of Dr. Shouhao Zhou at Penn State University, in collaboration with Dr. J. Jack Lee at MD Anderson Cancer Center and other clinical and methodological collaborators.

Responsibilities

• Contribute to methodological innovation, computational implementation, simulation studies, software development, manuscript preparation, and grant-related research activities.
• Support ongoing and planned projects on Bayesian adaptive designs, globally optimal dose-finding and phase I/II designs, pediatric and adult oncology trials, and efficient optimization algorithms for complex trial design spaces.

Requirements

• A PhD or equivalent doctoral degree in biostatistics, statistics, applied mathematics, operations research, computer science, engineering, or a closely related quantitative field.
• Strong programming skills in at least one major scientific computing language such as R, Python, C++, or a similar language.
• Ability to conduct independent research, communicate clearly, and work effectively in a multidisciplinary research environment.
• Strong written communication skills and interest in publishing methodological and collaborative research.

Preferred qualifications

• Strong methodological training in statistical inference, computational statistics, reinforcement learning, or optimization.
• Experience with Bayesian statistics, adaptive clinical trial design, dose-finding methods, phase I/II trial designs, model-assisted or model-based trial designs, or oncology clinical trials.
• Prior publications or preprints in biostatistics, statistics, clinical trials, machine learning, optimization, or related methodological areas.
• Learning and applying deep learning, agentic AI, and other AI methods in assisting research is encouraged.

Application materials

• Curriculum vitae
• Brief statement of research interests
• Contact information for three references
• Representative publications or writing samples if available

Review of applications will begin immediately and continue until the position is filled.