Director, Statistics Global Medical Affairs/Payer Biometrics
At AstraZeneca, we pride ourselves on crafting a collaborative culture that champions knowledge-sharing, ambitious thinking and innovation – ultimately providing employees with the opportunity to work across teams, functions and even the globe.
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We are currently looking for a Director, Statistics to lead, manage and develop a group of statisticians who work within our Global Medical Affairs (GMA) and Payer Biometrics statistics group which sits within Oncology Biometrics.
The Director, Statistics reports to the Head of GMA/Payer Biostatistics and is accountable for operational planning and delivery of services to the groups two key collaborators, GMA and Oncology Market Access and Pricing (OMAP).
For GMA, the group provides statistical support for interventional and Real World Evidence (RWE) studies, including developing design options and providing high quality decision support. For OMAP, the group provides statistical support for the Global Oncology Payer Function via the application of quantitative skills to support decision-making processes and value demonstration, including contributing to Health Technology Assessment (HTA) submissions.
What you will do:
The main duties and responsibilities of the role will include;
• To lead, manage and develop a group of statisticians, ensuring the successful delivery of projects while simultaneously considering the development needs of statisticians.
• Efficiently apply resource in the group and beyond to deliver key projects to time, quality and within resource constraints.
• Design and analysis of interventional and non-interventional studies (incl. sample size estimation and randomisation specification.)
• Developing statistical analysis plans for complex studies and/or project deliveries.
• Contributing to protocols, clinical study reports, regulatory documents and manuscripts.
• Providing support to the payer function for late stage oncology assets. Including post hoc analysis of clinical trial data to support development of cost effectiveness and budget impact models.
• Representing AstraZeneca to Health Authorities and Reimbursement & Payer Organizations for specific projects
• Analysis of published literature and RWE sources (e.g. network meta-analysis and synthetic control arms).
• Dependent on experience, mentoring of more junior staff and presenting at internal training seminars.
Desirable qualifications and experience:
• MSc or Ph.D. Statistics, Biostatistics, or Mathematics (containing a substantial mathematical component).
• Experience in drug development, study design, and data analysis and interpretation.
• Experience of leading projects and people in a pharmaceutical or CRO environment.
• Publication experience and/or experience of presenting at external meetings (e.g. ISPOR, PSI)
• Programming expertise in R, WinBugs and/or SAS.
• Regulatory submission experience in key markets (e.g. EU and USA.)
• 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.)
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AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing AZCHumanResources@astrazeneca.com.
AstraZeneca 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 industry-leading 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 non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.
