Statistics (Biostatistics) Graduate Rotational Programme, UK, 2026

Join the GSK R&D 2026 Statistics (Biostatistics) Graduate Programme: Help us get ahead of disease together

• 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 and will be assessed.
• Location: Stevenage/GSK HQ, London. Willingness to be geographically mobile (domestic) throughout rotations.
• Expected start date: October 2026.
• Application Information: You can apply to only one GSK Graduate Programme.
• Application deadline: Applications reviewed on a rolling basis, and this role will close once we have received enough relevant applications. We recommend you apply as soon as possible to avoid disappointment.
• Assessment Centre Date: May/June 2026.
• See what our graduate programme participants have to say about their experiences in our GSK Graduate Programmes.

GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world by 2030.

Statistics is central to how we make confident decisions in R&D. Our vision is to accelerate the discovery and development of medicines and vaccines through industry leading advances in transforming data into knowledge. This means combining strong statistical fundamentals with modern ways of working: leveraging new data at scale, using open source analytics, responsibly adopting AI enabled tools and automation, and building a culture with a growth mindset where people are supported to thrive.

Ahead together with tailored training and career development - join a team of industry leading statisticians and methodologist experts, embedding quantitative decision making to take smart risks and improve the probability of study and programme success. Over two years, the programme provides hands on experience and mentoring through rotations across priority organisations and project areas. Throughout the programme, you will work closely with multidisciplinary colleagues, supporting progress across the portfolio to get ahead of disease together.

• 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.

• 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.

• 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 our cutting edge wellbeing platform: personalise your experience, help reduce stress, increase focus, build connections and resilience. You will also have access to a confidential helpline 24/7, mindfulness, health screenings and financial wellbeing support.
• 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 you long term incentives by linking your rewards to our longer term performance.
• Engage with Employee Resource Groups, providing opportunities to network, gain mentorship, and grow personally and professionally.
• Access to TalNet, which are communities of Early Careers programme participants offering development, networking and social connections to help you make the best of your programme.
• 2 volunteering days per year, called "Together Days".

Apply now! Need help with your application? Please email us at and let us know how we can help you.

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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.