# Statistics Leader (Oncology) at GSK

GSK is hiring a Statistics Leader (Oncology) for a remote role open to applicants in United Kingdom. Level rates it Little AI ●○○○; you can [apply on GSK](https://jobsbylevel.com/go/af466637-77aa-425b-bee8-0a1684c89923?utm_medium=ai-agent).

AI Level 1, AI centrality 10 out of 100. Remote (UK – London – New Oxford Street).

## Details

- Company: [GSK](https://jobsbylevel.com/companies/gsk)
- AI level: AI Level 1 (score 10 out of 100)
- Location: Remote (UK – London – New Oxford Street)
- Posted: October 26, 2026
- Apply: https://jobsbylevel.com/go/af466637-77aa-425b-bee8-0a1684c89923?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=statistics-leader-oncology-at-gsk-d8fd35

## Prepare for this job

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## Description

At GSK we are looking for a highly capable Statistician to join GSK’s Research & Development (R&D) Oncology Statistics - Early Clinical Development, which acts as a central quantitative partner for R&D. Job Purpose: The Statistics Leader role manages statistical planning and delivery across clinical programs and contributes to clinical developments plans within the R&D Oncology function. Working closely with clinical, regulatory, safety, and clinical pharmacology teams, you will design robust clinical trials and analyses to shape development decisions and regulatory strategy. You will drive methodological innovation and mentor colleagues. Key Responsibilities (include..): Provide statistical support to Projects across Oncology pipeline. 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. Manage statistical design, analysis and interpretation for clinical programs across development phases using a wide range of statistical approaches. Use simulations and advanced statistical methodology to inform trial design and risk assessment. Location: GSK HQ London or Stevenage. Please Note: If the successful applicant is based at Stevenage site: This role will temporarily be based at Stevenage. However, the Company plans to relocate its offices to Cambridge, UK. The location of this role will therefore subsequently change to Cambridge UK, in accordance with timelines to be set by the Company. The relocation is currently proposed to take effect by early 2029. About You: Strong experience in statistical design and analysis is a pre-requisite for the role. You must also be accomplished in communicating/explaining complex statistical concepts (tools/models) to a wide range of cross-functional team members and operating partners. The role has considerable focus on providing problem-solving solutions. About GSK: At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together. Find out more - our approach to R&D: https://www.gsk.com/en-gb/innovation/ APPLICATION CLOSING DATE – Monday 2 nd of November 2026 (COB). Basic Qualifications: Advanced degree in Statistics, Biostatistics or related quantitative discipline with significant relevant post-graduate experience (ideally 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: PhD in Statistics, Biostatistics, or closely related field. Experience with clinical trial designs Experience with Bayesian methods, adaptive trial designs, and advanced modelling. Experience mentoring small technical teams. Experience preparing regulatory documents and interacting with regulators. Comfortable working in high-performance computing or large simulation environments. Skills Continuing Learning, Influencing Without Authority, Leadership, Problem Solving, Statistical Methods, Statistical Programming Why GSK?

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