Postdoctoral Fellow - Statistical methods on Dose Optimization in Oncology and Informing Late Phase

About the Opportunity

Optimizing doses and biomarkers in early-phase trials to inform Phase III dose and population decisions is a priority. Statistical approaches to address dose optimization and consideration of the population are needed. Adaptive design, Bayesian analysis, statistical modelling and utility-based approaches will be an important component of this project. The overall objective for this position will be to identify trial design and analysis methods to advance the goals of dose optimization and integrate biomarker optimization.

The position involves joining collaborative and supportive Dose Optimization Working Group Statistical Innovation and Statistical Innovation Meets BiomArker discovery groups, with close interactions with scientists of various backgrounds, including statisticians, data scientists, clinicians, regulatory, and precision medicine.

Project Focus

The project will begin with a critical evaluation of existing approaches. Subsequent methodological work will focus on dose-optimization approaches evaluating utility-based approaches, missing data approaches, pooling multiple sources of data including data from other trials, jointly optimizing the dose and biomarker, and trial design.