Director of Oncology Data Science Innovation

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. Job Purpose Are you looking for an opportunity to lead a Data Science Innovation team within Oncology Genomics & Data Science in GSK's Research Technology department and aid in the discovery and development of new cancer medicines? If so, this is the job for you. As a Director in Oncology Data Science Innovation, you will lead, plan, develop and coordinate state-of-the-art computational biology analytics, pipelines and AI/ML method for advancing our growing Oncology portfolio in partnership with functions across GSK including the AI/ML team, Research Technology's data science teams and team within Human Genetics and Genomics. You will work in an inter-disciplinary environment, frequently interfacing with wet-lab and translational scientists, clinicians, statisticians, and AI/ML colleagues among others. GSK's Oncology portfolio has seen significant growth in the past years. In the late-stage setting, we have seen numerous approvals and positive Phase 3 readouts. We also have several early-stage programs aiming to enter the clinic over the years to come. Oncology is now posed to be a significant growth driver for GSK, allowing us to be ambitious for patients and continue investment into early drug discovery. To achieve these aims requires leadership in computational biology to derive decision making insights from complex oncology genetic and genomic datasets. Key responsibilities: This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following: Lead, build and grow a team of Computational Biologists, Statisticians and AI/ML scientists to support and innovate the Oncology portfolio pipeline Contribute scientific and modelling expertise and design to multiple drug discovery or development efforts across oncology Act as a competent and recognized expert in developing and critiquing the scientific validity of research/development initiatives to drive the development and delivery of long-term scientific strategy in Oncology Genomics & Data Science Individually contribute with analyses and integration of complex cancer datasets. This includes advanced modeling of gene & protein expression (bulk + single cell + spatial), somatic mutations, copy number alterations, and translational and clinical data Develop and apply statistical methods and AI/machine learning algorithms to identify patterns in data, predict drug response, and discover potential biomarkers. Critically evaluate results Lead the development and use of bioinformatics pipelines, multimodal models and analytics Serve as a recognized leader in driving technological foresight within specific scientific function or directing content of programs Lead and influence the outcome of multidisciplinary meetings including partners in therapeutic research units, translational and clinical development teams. Communicate complex scientific findings clearly to both technical and non-technical audiences. Maintain current knowledge of advancements in cancer research and computational biology. Effectively communicate findings to appropriate senior GSK internal groups Utilize your track record of effecting substantial change by applying interdisciplinary knowledge of multiple disciplines and therapeutic areas that impact discovery and/or development in oncology Apply scientific skills to influence experimental design and data interpretation that impacts across drug discovery/development Define and execute a coordinated and highly influential scientific strategy Accountable for decisions affecting major product development activities or business directives and their implementation and for recommending allocation of resources with key matrix partners Why you?Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: PhD with postdoc or industry experience OR MS with 10+ years of related experience in Computational Biology, Bioinformatics, AI/ML, or a related field. Proven track record of leadership or matrix leadership experience in Computational Biology, Data Science or a related field Strong understanding of cancer biology and the drug discovery process. Proficiency in Python or R, with experience building bioinformatic workflows and documenting code with version control. Experience working with large-scale oncology datasets (e.g., TCGA, CPTAC, DepMap, PRISM) Expertise in statistical methods and AI/ML algorithms Preferred Qualifications: If you have the following characteristics, it would be a plus: Leadership with line management experience in Data Science in Oncology Research and Development in Industry, Biotech or Academic settings Expertise and experience in advanced AI/ML modelling of translational and real-world clinical and 'omics data with preclinical data for target discovery, biomarker and patient selection strategies Experience in implementing Agentic AI systems for multiomic data analysis A strong publication track record and internationally recognized research experience Knowledge of multiple disciplines and therapeutic areas that impact discovery/ development policy, processes or guidelines in the pharmaceutical industry Demonstrated ability to coordinate outputs from several expertise areas to determine strategy Proven track record of effecting substantial change Ability to make decisions Expert in integration of preclinical development disciplines and commercial strategy into a full-scale product development activity Ability to influence others Company Overview 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. Job Purpose Are you looking for an opportunity to lead a Data Science Innovation team within Oncology Genomics & Data Science in GSK's Research Technology department and aid in the discovery and development of new cancer medicines? If so, this is the job for you. As a Director in Oncology Data Science Innovation, you will lead, plan, develop and coordinate state-of-the-art computational biology analytics, pipelines and AI/ML method for advancing our growing Oncology portfolio in partnership with functions across GSK including the AI/ML team, Research Technology's data science teams and team within Human Genetics and Genomics. You will work in an inter-disciplinary environment, frequently interfacing with wet-lab and translational scientists, clinicians, statisticians, and AI/ML colleagues among others. GSK's Oncology portfolio has seen significant growth in the past years. In the late-stage setting, we have seen numerous approvals and positive Phase 3 readouts. We also have several early-stage programs aiming to enter the clinic over the years to come. Oncology is now posed to be a significant growth driver for GSK, allowing us to be ambitious for patients and continue investment into early drug discovery. To achieve these aims requires leadership in computational biology to derive decision making insights from complex oncology genetic and genomic datasets. Key responsibilities: This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following: Lead, build and grow a team of Computational Biologists, Statisticians and AI/ML scientists to support and innovate the Oncology portfolio pipeline Contribute scientific and modelling expertise and design to multiple drug discovery or development efforts across oncology . click apply for full job details