Director, Statistical Science - Global Medical Affairs / Payer Biometrics

Introduction to role:
Join our dedicated Oncology team at AstraZeneca, where we are deeply committed to transforming the lives of patients living with cancer. As the Director, Statistical Science, you will report to the Head of GMA/Payer Biostatistics and be responsible for delivering services to our two key stakeholders, GMA and Oncology Market Access and Pricing (OMAP). Your role will involve providing statistical support for interventional and Real World Evidence (RWE) studies, developing design options, and providing high-quality decision support.

Accountabilities:
In this role, you will contribute to strategic planning and quantitative decision making, participate in adapting and developing statistical methodology, and contribute to the development of new procedures and standards. You will also influence key stakeholders and governance, act as a technical expert in interactions with external providers and collaborators, work with regulatory and payer agencies, provide mentoring to more junior staff, and lead, manage, and develop a global group of statisticians.

Essential Skills/Experience:
- MSc or Ph.D. in Statistics, Biostatistics, or Mathematics (containing a substantial mathematical component)
- Experience of leading projects in a pharmaceutical or CRO environment, including but not limited to clinical trials

Desirable Skills/Experience
- Publication experience and/or experience of presenting at external meetings (e.g. ISPOR, PSI)
- Programming expertise in R, WinBugs and/or SAS
- Experience of performing sample size and event predictions for time to event trials
- Experience of reimbursement submissions in key markets (e.g. UK and Germany.)
- Regulatory submission experience
- Application of indirect comparison methodology (e.g. Bayesian/Frequentist NMA and MAIC/STC methodologies)
- Experience of performing adjustment for treatment switching/cross-over within clinical trials (e.g. RPSFT and IPCW methodology.)
- Analysis of health utility data including mapping and value set application
- Application of causal inference models to clinical trial and RWE data
- Experience of working with RWE datasets and registries (e.g. Flatiron.)

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, we follow the science and pioneer new frontiers. Our big vision is to eliminate cancer as a cause of death, a goal that unites and inspires us. With multiple indications and high-quality molecules at all stages of our innovative pipeline, we keep pushing forward. We make bold decisions driven by patient outcomes and have built an unrivalled scientific community both internally and externally. Here, you will have the opportunity to build a rewarding and meaningful career as part of the team committed to improving the lives of millions with cancer.

Ready to make a big impact? Join us at AstraZeneca! Apply now!