Principal Biostatistician- Statistics & Data Science Innovation Hub (SDS-IH)
This is an exciting opportunity to join GSK and channel your passion for Innovation in the field of Statistics and Data Science to help transform the way in which we use data and quantitative thinking to drive decision-making in R&D. We are growing our cutting-edge statistical innovation and data science capabilities by expanding the Statistics & Data Science Innovation Hub (SDS-IH) led by Prof Nicky Best. SDS-IH is a methodologically focused, solution-oriented functional group within GSK’s Biostatistics department. Biostatistics is comprised of Statisticians, Programmers and Data Scientists within GSK R&D, numbering approximately 700 permanent people in the US, UK, Europe and India. Our work ensures that robust quantitative examination and statistical design and analysis is at the heart of R&D decision-making and enables scientists to make timely, data-driven choices about which potential new medicines and vaccines are most promising to add value for patients – ultimately making the development process more efficient and maximising success.
Within the Statistical Innovation (SI) Pillar of SDS-IH, we have openings at the Principal Biostatistician level. The SI team focuses broadly on the development and application of advanced biostatistics methods for clinical trial design and analysis. Active areas of research and support include, but are not limited to, Bayesian dynamic borrowing and other information-borrowing methods, complex innovative study design (e.g., Bayesian and non-Bayesian adaptive trials, master protocols, seamless designs, basket PoC trials), optimal use of the estimands framework, efficient quantitative decision making (e.g., Go/No Go decision making), use of historical data and/or real-world evidence (RWE) for clinical trial design and analysis, and the design of hybrid or externally controlled trials.
Join the Statistics & Data Science Innovation Hub Statistical Innovation Pillar
US Hiring Locations: Collegeville, PA, Rockville, MD and Waltham, MA
UK Hiring Locations: Stevenage, GSK House (Brentford)
EU Hiring Locations: Wavre, Belgium; Siena, Italy (for Vaccines’ opportunities only); Amsterdam, The Netherlands
Remote Working: A variety of flexible working arrangements are available
- Drive systematic use of quantitative decision-making methods to support development plans across all stages of the drug development lifecycle.
- Support identification, development, and application of novel statistical methodologies to increase efficiency and effectiveness of clinical trial design and analysis, including leveraging relevant prior information, use of adaptive and complex innovative designs, methods for handling missing data due to treatment discontinuation and withdrawal from clinical trials (estimands).
- Contribute to strategic activities to investigate, promote, and implement statistical thinking and emerging quantitative tools and methods to support risk-based approaches and data-informed decision-making across the portfolio.
- Deliver innovative statistical and data science tools and methods to (1) enable data-driven decision-making and accelerate execution and delivery of the portfolio and (2) implement data-driven solutions that add business value within agreed timelines.
- Provide technical leadership and direction in the form of consultancy and training (e.g., on the use of cutting-edge statistical methodology) to fellow statisticians, programmers, data scientists and relevant strategic partners within R&D.
- Interact with external scientific groups (industry, academia, regulators) and vendors through presentations, publications, and collaborations, in order to contribute to innovation and uptake of novel statistical methodology and tools within GSK and across the pharmaceutical industry.
- PHD in (bio)statistics, data science, mathematics, or a related quantitative discipline.
- Substantial interest in driving both the development of new methodological solutions as well as the identification and application of existing, state-of-the art solutions to meet the needs of GSK’s diverse R&D portfolio.
- Superb written and verbal communication skills with a demonstrated ability to influence non-specialists to adopt innovation where necessary for smart risk-taking.
- Demonstrable evidence of learning agility and unbiased approaches to problem solving.
- Thorough knowledge of statistical software such as R or SAS.
If you have the following characteristics, it would be a plus:
- Relevant experience in drug development or other relevant industry or academic settings.
- Demonstrable evidence of statistical innovation and technical statistical strength, including publication in major scientific journals, conferences, or other scientific proceedings.
- Experienced user of modern biostatistical methods relevant to drug development, such as Bayesian and/or non-Bayesian adaptive trial design, clinical trial simulation, meta-analysis/evidence synthesis, hierarchical modeling, longitudinal data analysis, and survival analysis.
Please use an application cover letter to tell us why you would be suited to a role in SDS-IH.
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