Principal Biostat Statistical Innovation (SI) Pillar

Site Name: Belgium-Rixensart Posted Date: Jan 27 2023 Job Purpose 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 maximizing 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, the design of hybrid or externally controlled trials and Causal Inference methods (e.g. mediation, estimands, historical controls,…). Key Responsibilities 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. Why You Basic qualifications 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. Preferred qualifications Experienced on Causal Inference Methods (especially Bayesian Causal inference). 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. Why GSK GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. 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 in the next 10 years. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Find out more: Annual Report 2021 We’re combining the power of genetic and genomic insights into what causes disease, with the speed and scale of artificial intelligence and machine learning (AI/ML) to make better predictions about who a treatment might work for, and why. We believe this powerful combination of data and technology holds the key to fundamentally transforming medical discovery for the better, improving R&D success rates and shaping how even the most challenging diseases, like neurological conditions and cancer, can be both prevented and treated. In 2021 we delivered four major product approvals: Cabenuva for HIV, Jemperli for endometrial cancer, Xevudy for COVID-19 and Apretude, our new long-acting medicine for HIV prevention. Find out more: Our approach to R&D. If you have a disability and require assistance during the course of the selection process, you will have the opportunity to let us know what specific assistance you require in order to make suitable arrangements. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. 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 in the next 10 years. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. 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