About the Role
GSK Oncology is committed to discovering and developing new therapies with the potential to change the lives of patients with cancer. The Oncology Clinical Development Statistics group is seeking exceptionally talented Statisticians to provide end-to-end statistical leadership across oncology evidence generation—from early development through registration and lifecycle support—using innovative trial designs and modern statistical methods (including simulation, interim strategies, Bayesian approaches, and external/real-world data) to inform key development decisions.
Key Responsibilities
This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include the following:
- Provide statistical leadership for oncology studies/indications, partnering with project and study teams to align strategy and execution
- Lead statistical strategy for study design, analysis, reporting, and interpretation, applying fit-for-purpose methods (e.g., simulation, interim strategies, Bayesian) to quantify uncertainty and inform decisions
- Author/review statistical sections of protocols, SAPs, clinical/regulatory documents, and presentations; communicate complex results clearly to non-statistical stakeholders
- Ensure high-quality, on‑time deliverables and effective stakeholder management in a matrix environment
- Drive innovation in statistical methodology and data strategy, including appropriate use of external/real‑world data to strengthen oncology evidence generation
- Build deep indication knowledge (e.g., regulatory expectations, competitor landscape) and influence asset strategy and regulatory submissions with rigorous statistical insight
- Represent Oncology Biostatistics externally as appropriate and may serve as project statistician for an oncology asset
Basic Qualifications
- PhD in Statistics or a related quantitative field with at least 5 years post‑degree experience or MS/MSc in Statistics (or related quantitative field) with 8+ years of clinical development experience
- Experience supporting clinical development in pharmaceutical, biotech, or CRO settings
- Experience delivering fit-for-purpose statistical solutions and supporting study design and readouts
- Experience with R and/or Python
Preferred Qualifications
- Working knowledge of SAS
- Hands‑on expertise in statistical modeling and innovative methods (e.g., Bayesian approaches)
- Thorough knowledge of the drug development process including late‑phase development, registration activities, and oncology regulatory expectations
- Familiarity with causal inference and/or AI/ML methods, and interest in applying these approaches to clinical and/or real‑world data
- Demonstrated ability to lead or make major contributions to department, organizational and/or industry‑wide initiatives, through effective communication and influence
Why GSK?
Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
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, parental status, national origin, age, disability, genetic information, military service or any basis prohibited under federal, state or local law.
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