Statistics Leader​/Associate Director of Statistics

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.

• 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

• 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

• PhD
• Experience supporting Oncology Clinical development in pharmaceutical, biotech, or CRO settings
• 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 (when appropriate) 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
• Strong communication and stakeholder‑management skills, with demonstrated ability to influence across functions in a matrix environment
• Highly organized, self‑directed, and able to manage multiple priorities across projects

If you are based in Cambridge, MA;
Waltham, MA;
Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $150,150 to $250,250. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in a share‑based long‑term incentive program which is dependent on the level of the role.

Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.

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.