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

AstraZeneca • Gaithersburg, MD

14d • $108,500 - $123,694

About The Position

Optimizing doses and biomarkers in early-phase trials to inform Phase III dose and population decisions is a priority at AstraZeneca. 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 postdoc will join our collaborative and supportive DOWGS (Dose Optimization Working Group Statistical Innovation) group and SIMBA (Statistical Innovation Meets BiomArker discovery) group, supervised by Dr. Gina D’Angelo. They will also have 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. The postdoc will be responsible for writing scientific papers, presenting talks and supporting the scientific development of statistical methodology at AstraZeneca.

Requirements

• PhD in Statistics or related field (or near completion of PhD)
• 0-4 years’ scientific working experience
• Good knowledge of the statistical software R.
• The ability to work collaboratively to solve statistical problems.
• Demonstrated effectiveness in presenting scientific work.
• Ability to communicate statistical ideas to scientists who are not statisticians.
• Data analysis and Computer coding
• Evaluating and developing new, statistical methodologies
• Collaborate with scientists (statisticians and non-statisticians)
• Outstanding communication skills, both written and oral

Nice To Haves

• Contributed to scientific papers and/or presented at scientific conferences
• Experience in statistical topics that are closely related to the project, such as dose-optimization, biomarkers, statistical modelling, adaptive design, Bayesian methods
• Proven ability to steer the direction of scientific work
• Fundamental knowledge of biomedical research and drug development

Responsibilities

• writing scientific papers
• presenting talks
• supporting the scientific development of statistical methodology at AstraZeneca

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree