Senior Principal Statistician

GSK

7d•Hybrid

About The Position

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. Discover more about our company wide benefits and life at GSK on our webpage Life at GSK | GSK Senior Principal Statistician 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.

Requirements

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.

Nice To Haves

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

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