Statistics Leader / Associate Director - Oncology Statistics

Statistics Leader / Associate Director - Oncology Statistics

You will lead statistical planning and delivery across clinical programs and contribute to clinical developments plans within oncology. You will work closely with clinical, regulatory, safety, data science and commercial teams. You will design robust clinical trials and analyses that shape development decisions and regulatory strategy. You will drive methodological innovation and mentor colleagues. Join us to grow your career, make a real impact on patient-focused R&D, and help unite science, technology and talent to get ahead of disease together.

Key Responsibilities

• Provide statistical support to Projects across Oncology pipeline
• Lead statistical design, analysis and interpretation for clinical programs across development phases using a wide range of statistical approaches (e.g. Bayesian methodology)
• Use simulations and advanced statistical methodology to inform trial design and risk assessment.
• Review and contribute to statistical analysis plans, protocols and regulatory submissions.
• Work with cross-functional teams to translate statistical insight into program strategy.
• Mentor and coach statisticians to build capability and quality.

Basic Qualifications & Skills

• Advanced degree in Statistics, Biostatistics or related quantitative discipline (MSc or equivalent) with significant relevant post-graduate experience, in oncology, within the pharmaceutical industry or a clinical research setting.
• Proven track record contributing statistical expertise to early and/or late phase clinical development.
• Practical experience implementing simulations and statistical methods using R, Python or similar tools.
• Clear written and verbal communication skills for explaining methods and results to non-statistical colleagues.
• Strong organisation and time management across multiple projects and deadlines.

Preferred Qualifications & Skills

• PhD in Statistics, Biostatistics, or closely related field.
• Experience with Bayesian methods, adaptive trial designs, and advanced modelling.
• Experience applying statistical methods to disease modelling, high-dimensional data, or real-world evidence.
• Experience mentoring or leading small technical teams.
• Experience preparing regulatory documents and interacting with regulators.
• Comfortable working in high-performance computing or large simulation environments.

Closing Date for Applications - 4th March 2026

If you require adjustments to the application process, please contact us at .

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.