Principal Statistician

GSK

2d•$108,750 - $181,250•Hybrid

About The Position

Join our industry-leading Statistics team, dedicated to embedding high-quality quantitative reasoning at the heart of every project in our portfolio. At GSK, statisticians are essential in maximizing the use of all available data points to efficiently develop translational strategies that underpin our comprehensive clinical development plans. This is a hybrid role requiring 2-3 days on-site per week average at one of these site locations: US: Collegeville, PA or Waltham, MA. UK: GSK HQ (London), London The Stanley Building, London – New Oxford Street. The Oncology Clinical Development Statistics group is seeking exceptionally talented and dedicated Statisticians. In this role, you will apply your statistical expertise and innovative methodologies to make key contributions to the development of new medicines in the Oncology field. You will provide statistical and strategic insights into clinical development plans and the design of end-to-end development strategies, from early first-in-human trials to late-phase drug development. Our team is committed to utilizing 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. 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

Requirements

MS in Statistics or related discipline
1+ years’ experience working as a Statistician in a CRO or in a clinical trial setting in the Pharmaceutical Industry
Experience implementing innovative methods by simulation using R or SAS or other software

Nice To Haves

PhD in Statistics or closely related field with pharmaceutical industry experience
Strong applied expertise in statistical modelling, including Bayesian methods, with a focus on innovative solutions to real-world clinical problems.
Track record of strong performance in an industry or academic setting
Excellent interpersonal and communication skills
Capability in building and maintaining strong working relationships in a team setting
Strong time management skills; able to effectively organize and manage a variety of tasks across different projects
Self-motivated and independent worker

Responsibilities

Provide required statistical support to Project and Study Statisticians across the oncology team
Provide statistical input to the design, analysis, reporting and interpretation of clinical studies using a wide range of statistical approaches and/or applicable software (e.g. simulation, Bayesian methods, interim analysis strategies).
Author statistical analysis plans and prepare statistical input to key documents (including protocol) and presentation material
Apply standard processes to tasks to ensure that deliverables are accurate, high quality and meet agreed timelines
Build and maintain effective strategic working relationships with internal and external partners to meet business needs
Identify, develop, and implement novel statistical methodologies in support of medicines development