Director Statistical Science - Global Medical Affairs Payer Biometrics
Director Statistical Science - Global Medical Affairs Payer Biometrics
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Job Description
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 highquality 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/crossover 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 lifechanging medicines. Inperson working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were 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 highquality 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!
Date Posted
24Feb2025Closing Date
29Apr2025AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds with as wide a range of perspectives as possible and harnessing industryleading skills. We believe that the more inclusive we are the better our work will be. We welcome and consider applications to join our team from all qualified candidates regardless of their characteristics. We comply with all applicable laws and regulations on nondiscrimination in employment (and recruitment) as well as work authorization and employment eligibility verification requirements.
Required Experience:
Exec
Employment Type
Full-Time
