Associate Director - Oncology Statistics

GSK•Upper Providence, PA

23h•Hybrid

About The Position

The Associate Director – Oncology Statistics will lead statistical planning and delivery across oncology clinical programs and contribute to clinical development plans. The role partners with clinical, regulatory, safety, data science, and commercial teams to design robust clinical trials and analyses that inform development decisions and regulatory strategy. It also drives methodological innovation and mentors colleagues, supporting patient-focused research and development.

Requirements

Advanced degree (MSc or equivalent) in Statistics, Biostatistics, or a related quantitative discipline, with significant relevant postgraduate 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.

Nice To Haves

PhD in Statistics, Biostatistics, or a 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.
Comfort working in high-performance computing or large simulation environments.

Responsibilities

Provide statistical support to projects across the oncology pipeline.
Lead statistical design, analysis, and interpretation for clinical programs across development phases, using a wide range of statistical approaches, including 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.