At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. GSK has kicked off 2025 with impressive growth in sales, profits, and earnings. We anticipate five major new FDA product approvals and 15 phase III/pivotal study readouts over the next two years. So far, we have secured two FDA approvals, with three more expected later this year. By uniting science, technology, and talent, we are committed to getting ahead of disease together.
GSK is seeking an outstanding and visionary leader to join our global pharmaceutical organisation as the Head of Early Development Statistics in Oncology. This pivotal position sits at the heart of our commitment to bringing transformative medicines to patients, driving statistical excellence and innovation from the earliest phases of drug discovery through to the demonstration of proof of concept or mechanism.
Working in close partnership with research, translational, and clinical teams, this individual will lead a world-class statistics group that shapes and delivers the quantitative strategies underpinning GSK’s next generation of oncology medicines. The successful candidate will demonstrate exceptional leadership, scientific acumen, and a passion for translating scientific discovery into patient benefit through robust, data-driven decision making.
Build and lead a team of statisticians who specialize in early statistical strategies by oncology indications.
Serve as a statistical expert for internal and external collaborators, investigators, consultants, and contractual resources.
Build a dynamic environment that attracts, develops, and retain top quantitative talent through personalised career development and an unwavering commitment to scientific curiosity, cross-functional collaboration, and continuous improvement.
To foster a culture of innovation, encouraging the adoption and development of cutting-edge statistical and quantitative methods. Ensure GSK remains at the forefront of design and methodological advances in early oncology development, applying creative solutions to accelerate and de-risk development.
Shape the strategic direction, vision, and culture for the Early Development Oncology Statistics group by aligning innovative statistical approaches with the performance goals of Research and Development.
Influence planning and decision-making strategy over a portfolio of assets though building and maintaining effective business relationships with key functions.
Responsible for driving the statistical strategy of oncology assets from lead optimization through to clinical proof of concept, ensuring all early development programs are underpinned by optimal designs, robust statistical analyses, and data-driven Bayesian decision-making frameworks.
Leverage the use of historic and legacy data, integrating prior knowledge into current projects. Oversee strategies for effective data mining, evidence synthesis, and predictive modelling to inform program design, biomarker selection, and decision-making.
Partner with counterparts in the Programming organization to ensure high-quality execution of all trial analyses, planning the resource strategy, with accountability for budget, quality and CRO oversight.
Represent GSK-Oncology Biostatistics in industry and academic forums, establishing the group’s reputation as the preeminent early development statistics organisation in oncology. Forge partnerships with top external experts, consortia, and regulatory bodies, ensuring a continuous infusion of cutting-edge insights and collaborative excellence
Serve as a member of the Oncology Biostatistics Leadership Team.
PhD or equivalent in Statistics, Biostatistics, Mathematics, or related quantitative discipline.
Significant experience in statistical support of early clinical development, preferably within oncology and the pharmaceutical/biotech industry.
Expertise in the design, analysis, and interpretation of preclinical and early clinical studies, including biomarker development and translational strategy.
Demonstrated success leading and developing high-performing teams in a global environment.
Strong track record of methodological innovation and application of advanced quantitative approaches (e.g., Bayesian methods, model-informed drug development).
Experience influencing cross-functional teams and senior decision-makers.
Excellent communication skills, with the ability to articulate complex statistical concepts to diverse audiences.
Experience working with regulatory authorities and external collaborators is strongly preferred.
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Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
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.
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
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