Postdoctoral Scholar - Public Health Sciences
Core
Developing next-generation statistical methods and software for adaptive clinical trial designs, with an emphasis on early-phase oncology trials.
Role type
Postdoctoral Scholar in Biostatistics (Methodological Research)
Builds
Production statistical software and simulation studies for clinical trial optimization
Domain
Biostatistics, Oncology, Clinical Trial Design
Deliverable
production ML models | research | client delivery
Required skills
PhD in biostatistics/statistics/applied math/CS/engineering, strong programming in R/Python/C++, independent research capability, statistical inference, computational statistics
Preferred skills
Bayesian statistics, adaptive clinical trial design, dose-finding methods, reinforcement learning, optimization, deep learning, agentic AI
Technologies
R, Python, C++, Bayesian frameworks, optimization algorithms
Responsibilities
Develop novel adaptive clinical trial design methodology, conduct simulation studies, implement software solutions, prepare manuscripts for publication, collaborate on grant-related research
Seniority
Postdoctoral (Early-career independent researcher)
