Global Director of Statistical Science, Medical Affairs in Cambridge

Global Director of Statistical Science, Medical Affairs in Cambridge

Cambridge Full-Time 80000 - 100000 £ / year (est.) No working from home possible
AstraZeneca GmbH

At a Glance

  • Tasks: Lead statistical design and manage a team in Oncology Biometrics.
  • Company: AstraZeneca, a leading global biopharmaceutical company.
  • Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
  • Other info: Join a dynamic team at the forefront of medical advancements.
  • Why this job: Make a significant impact in oncology while driving innovative statistical thinking.
  • Qualifications: Proven experience in statistical science and team leadership.

The predicted salary is between 80000 - 100000 £ per year.

Astra Zeneca in Cambridge, UK, invites applications for a Director of Statistical Science to lead the Global Medical Affairs/Payer Biometrics statistics group within Oncology Biometrics.

The role combines independent statistical design with line management of a small team of statisticians.

You will drive statistical thinking across cross‑functional projects, contribute to strategic planning, and engage with regulators and payers.

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Global Director of Statistical Science, Medical Affairs in Cambridge employer: AstraZeneca GmbH

Evinova is an exceptional employer that champions innovation in digital health, offering a collaborative work culture where your contributions truly matter. Located in the vibrant city of Cambridge, employees benefit from a competitive salary and excellent perks, alongside ample opportunities for professional growth and development within a forward-thinking team. Join us to be part of a mission-driven organisation that values your expertise and fosters a supportive environment for impactful work.

AstraZeneca GmbH

Contact Details:

AstraZeneca GmbH Recruitment Team

We think you need these skills to ace Global Director of Statistical Science, Medical Affairs in Cambridge

Communication Skills
Problem-Solving Skills
SQL
Python
Data Engineering
ETL/ELT Processes
Data Pipeline Development