Director, Statistics Global Medical Affairs/Payer Biometrics

1 month ago

Old Toronto, Canada AstraZeneca GmbH Full time

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.

Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office and BlueSky Hub in downtown Toronto are purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.

Our dedication to sustainability is also central to our culture and part of what makes AstraZeneca a great place to work. We know the health of people, the planet and our business are interconnected which is why we’re taking ambitious action to tackle some of the biggest challenges of our time, from climate change to access to healthcare and disease prevention.

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 group's 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:

  1. Lead, manage and develop a group of statisticians, ensuring the successful delivery of projects while considering the development needs of statisticians.
  2. Efficiently apply resources in the group and beyond to deliver key projects on time, quality, and within resource constraints.
  3. Design and analyze interventional and non-interventional studies (incl. sample size estimation and randomisation specification).
  4. Develop statistical analysis plans for complex studies and/or project deliveries.
  5. Contribute to protocols, clinical study reports, regulatory documents, and manuscripts.
  6. Provide 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.
  7. Represent AstraZeneca to Health Authorities and Reimbursement & Payer Organizations for specific projects.
  8. Analyze published literature and RWE sources (e.g. network meta-analysis and synthetic control arms).
  9. Depending on experience, mentor more junior staff and present at internal training seminars.

Desirable qualifications and experience:

  • MSc or Ph.D. in 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).

Are you interested in working at AZ? Apply today

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.

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