GSK R&D 2026 Statistics (Biostatistics) Graduate Programme
Education required: MSc degree from an accredited college/university in statistics, with a strong biostatistics or medical statistics focus. Course completion by September 2026.
Language requirement: Written and spoken fluency in English.
Coding requirements: Using statistical software and coding for analysis; knowledge & experience with R is essential.
Location: Stevenage/GSK HQ, London. Willingness to be geographically mobile (domestic) throughout rotations.
Expected start date: October 2026.
Responsibilities
* Contribute to study delivery under supervision, supporting lead statisticians on defined work packages and agreed timelines.
* Provide statistical input to the design, analysis, reporting and interpretation of studies, including drafting sections of analysis plans and key documents with guidance.
* Perform statistical analyses and produce clear outputs using appropriate tools, applying reproducible practices and quality checks to own work.
* Communicate progress, results and recommendations clearly to technical and non-technical colleagues, adapting messages to the audience and incorporating feedback.
* Build and maintain effective working relationships within multi-disciplinary teams, collaborating with internal partners and (where appropriate) supporting external interactions under guidance.
* Contribute to innovation and continuous improvement by exploring new approaches (e.g., modelling, simulation, GenAI, ML, and other modern methods) where appropriate and with support, sharing learnings with the team.
* Participate in peer review and team discussions, helping strengthen consistency, rigour and good practice across deliverables.
* Gain experience across the end-to-end development lifecycle through rotations (from early development through registration and lifecycle support), building breadth and confidence over time.
Qualifications
* MSc degree from an accredited college/university in statistics, with a strong biostatistics or medical statistics focus. Course completion by September 2026.
* Using statistical software and coding for analysis; knowledge & experience with R is essential.
* Practical and technical understanding of statistical inference, Bayesian methodology, modelling, and motivation to apply methods to real development questions.
* Ability to deliver accurate, high-quality work with strong attention to detail, documentation and data integrity.
* Clear written and verbal communication in English, including ability to explain statistical ideas in plain language and keep supervisors informed of progress and challenges.
* Collaborative mindset and evidence of working effectively in teams and proactively seeking input when needed.
* Strong organisation, time management and prioritisation skills; ability to manage tasks to agreed timelines.
* Learning agility, resilience and a growth mindset – openness to feedback and commitment to building capability in technical skills and critical business skills across rotations.
Benefits
* A competitive salary, with an annual bonus based on company performance.
* Relocation Allowance (eligibility will be confirmed once your first location is confirmed).
* Employee recognition programs, which reward exceptional achievements.
* Access to an employee wellbeing platform to help reduce stress, increase focus, build connections and resilience.
* Access to Private Healthcare Insurance, including 24‑hour access to an online GP.
* Additional support through salary sacrifice including identity protection, long‑term care insurance, home, auto, and pet insurance.
* Option to opt into our share‑save plan which gives long‑term incentives by linking rewards to performance.
* Engagement with Employee Resource Groups, providing opportunities to network, gain mentorship and grow personally and professionally.
* Access to TalNet, communities for early‑career participants offering development, networking and social connections.
* Two volunteering days per year, called “Together Days.”
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.
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