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Postdoctoral Scholar in Biostatistics for Adaptive Clinical Trial Design Methodology Penn State University in United States
Degree Level
Postdoc
Field of study
Oncology
Funding
Full-time postdoctoral scholar appointment at Penn State; term length will be discussed during the interview and continuation depends on university need, performance, and/or availability of funding. The post mentions a competitive benefits package for full-time employees but does not specify stipend or salary.
Country
United States
University
Penn State Universit
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About this position
Postdoctoral Scholar in Biostatistics: Novel Adaptive Clinical Trial Design Methodology at Penn State University College of Medicine, Department of Public Health Sciences, Division of Biostatistics and Bioinformatics.
This is a full-time postdoctoral opening focused on the development of next-generation statistical methods and software for adaptive clinical trial designs, with an emphasis on early-phase oncology trials. The 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. The research environment spans Bayesian statistics, dose-finding methods, phase I/II trial designs, optimization, computational statistics, software development, simulation studies, manuscript preparation, and grant-related research activities.
Eligible applicants should have a PhD or equivalent doctoral degree in biostatistics, statistics, applied mathematics, operations research, computer science, engineering, or another closely related quantitative field. Strong programming ability in R, Python, C++, or a similar scientific computing language is required. Applicants should be able to conduct independent research, communicate clearly, and work effectively in a multidisciplinary environment. Preferred experience includes statistical inference, computational statistics, reinforcement learning, optimization, Bayesian methodology, adaptive and model-based trial design, and oncology clinical trials. Prior publications or preprints are preferred. Experience or interest in deep learning, agentic AI, and other AI methods is encouraged.
Funding details are not specified beyond a full-time appointment with benefits and continuation dependent on university need, performance, and/or availability of funding. Review of applications begins immediately and will continue until the position is filled.
To apply, submit a CV, a brief statement of research interests, contact information for three references, and representative publications or writing samples if available. External applicants should use the Workday application process; current Penn State employees or students must apply internally.
Funding details
Full-time postdoctoral scholar appointment at Penn State; term length will be discussed during the interview and continuation depends on university need, performance, and/or availability of funding. The post mentions a competitive benefits package for full-time employees but does not specify stipend or salary.
What's required
A PhD or equivalent doctoral degree in biostatistics, statistics, applied mathematics, operations research, computer science, engineering, or a closely related quantitative field is required. Applicants should have strong programming skills in at least one major scientific computing language such as R, Python, C++, or similar, the ability to conduct independent research, clear communication skills, strong written communication, and an interest in publishing methodological and collaborative research. Preferred qualifications include strong training in statistical inference, computational statistics, reinforcement learning, or optimization, plus 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 are preferred; experience with deep learning, agentic AI, and other AI methods is encouraged.
How to apply
Prepare a CV, a brief statement of research interests, contact information for three references, and representative publications or writing samples if available. Apply through the Penn State Workday application process for external applicants; current Penn State employees or students should use the internal Workday process instead. Review of applications begins immediately and continues until the position is filled.
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Prepare your application
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ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.