Senior Principal Statistician

We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.

You will work within a team applying your statistical expertise and innovative methodology to support clinical development within the Oncology pipeline. You will work closely with cross-functional teams to design studies from early first-in human trials to late-phase drug development. Our team is committed to utilising novel clinical trial designs and innovative statistical methods, including Bayesian techniques, to assess risk as well as probability of success for both studies and overall programs to enable informed decision-making.

Responsibilities

• Provide statistical support to Project Statisticians and support studies across Oncology pipeline
• Contribute to statistical design and analysis of clinical trials across development phases using a wide range of statistical approaches (e.g. Bayesian methodology)
• Use simulations and advanced statistical methodology to inform trial design and risk assessment
• Develop and review statistical analysis plans, protocols and sample size calculations to support oncology clinical trials
• Work closely with study teams (programmers, data managers and clinical colleagues) in support of clinical trials
• Apply standard processes to tasks to ensure that deliverables are accurate, high quality and meet agreed timelines

Basic Qualification

• Master's degree or higher in Statistics, Biostatistics, Applied Mathematics, Mathematics, or a related quantitative discipline.
• Demonstrated relevant industry experience.
• Practical experience in statistical programming (R, Python) and model implementation.
• Hands-on experience with simulation methods and study design for oncology clinical development.
• Strong written and verbal communication skills for technical and non-technical audiences.
• Proven ability to work in cross-functional teams and to manage multiple priorities.

Preferred Qualification

• PhD in Statistics or closely related field
• Experience with Bayesian methods, advanced predictive modelling, or causal inference.
• Track record of methodological innovation or contributions to publications

Closing Date for Applications 4th March 2026

Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

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. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at UKRecruitment.Adjustments@gsk.com where you can also request a call.