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Director of Statistical Science – Global Medical Affairs/Payer Biometrics

AstraZeneca

UK - Cambridge permanent

Posted: March 19, 2026

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Quick Summary

To serve as the Director of Statistical Science (Supervisor) in Global Medical Affairs/Payer Biometrics, you will be responsible for leading a team of statisticians and conducting research projects to develop statistical models and methods for clinical trials, and providing scientific support to the company's medical affairs and biometrics activities.

Job Description

Director of Statistical Science (Supervisor) – Global Medical Affairs/Payer Biometrics

Location: Cambridge (UK)

Salary:  Competitive salary and benefits package

Do you have a passion for science, statistics and leadership? Are you up for the challenge to impact a company that follows the science and turns ideas into life changing medicines? If yes, we welcome you to join AstraZeneca!

At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide, while applying leading edge approaches to science across many business areas. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift to act, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person.

We hope that you are our new Director of Statistical Science who can join us to play an important part in our growing Global Medical Affairs/Payer Biometrics statistics group which sits within Oncology Biometrics. This role combines individual statistical design and strategic contributions with the opportunity to lead, manage, and develop a small group of Statisticians.

The Director of Statistical Science reports to the Head of GMA/Payer Biostatistics and will be responsible for the delivery of services to the groups two key stakeholders, 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.

Accountabilities:
As a Director of Statistical Science you will line manage and develop a team of statisticians. You will be expected to:

• Take on a leadership role and drive statistical thinking in cross-functional team projects

• Lead, manage, and develop a global group of statisticians, ensuring the successful delivery of projects while also considering the development needs of the team

• Contribute to strategic planning and quantitative decision making

• Participate in adapting and developing statistical methodology

• Contribute to development of new procedures and standards to increase quality, efficiency, and effectiveness

• Influence key stakeholders and governance

• Act as a technical expert in interactions with external providers and collaborators 

• Work with regulatory and payer agencies, e.g. attending meetings, answering questions

• Provide mentoring to more junior staff and present at internal training seminars

Essential qualifications and experience include:

• MSc or Ph.D. Statistics, Biostatistics, or Mathematics (containing a substantial mathematical component).  

• 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)

Desirable qualifications and experience include:

• Programming expertise in R, WinBugs and/or SAS.

• Experience of reimbursement submissions in key markets (e.g. UK and Germany.).

• 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.).

Why AstraZeneca?

It’s a place to think differently – to find new ways of handling and treating diseases. We are trusted and empowered to explore. Ultimately, it’s more than a job. We know that our work impacts people with serious conditions, many of whom have no other alternatives. That’s what drives us – the potential to impact over one billion patients worldwide.

So, what’s next!

If this sounds like your next challenge - apply today! Welcome to send us your application through our website at your earliest convenience, but no later than 6th April  2026.

Where can I find out more?

Follow AstraZeneca on Instagram: https://www.instagram.com/astrazeneca_careers/?hl=en

Read more about BioPharmaceuticals R&D: https://www.astrazeneca.com/r-d.html

Please visit our Biometrics landing page: https://careers.astrazeneca.com/biometrics

Date Posted

19-Mar-2026

Closing Date

06-Apr-2026

Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.

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