AIML Clinical Scientist

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About the role

Business Introduction 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. We’re uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D We are seeking a  Clinical Scientist with a background as a physician-scientist in oncology to join our multidisciplinary  Artificial Intelligence and Machine Learning (AIML)  team. This position offers a rare opportunity to shape the future of medical research by directly integrating clinical expertise with pioneering AIML advancements, setting our team apart as leaders in translational medicine.        The role is uniquely positioned to bridge clinical practice, advanced AIML research, and the Respiratory, Immunology and Inflammation Research Unit (RIIRU), with a particular emphasis on leveraging large language models (LLMs) and other emerging AIML methodologies. The successful candidate will be a training fellow, upskilling in AIML while providing essential clinical expertise to drive innovation in drug discovery and development.       You will benefit from dedicated mentorship and hands-on training in advanced AIML techniques, fostering rapid professional growth at the intersection of clinical science and artificial intelligence.       In this role you will        Clinical and Research Integration    • Translational Research Liaison: Act as the primary conduit for introducing new AIML methodologies to RIIRU.    • Collaborate with the World Models of Medicine team to identify AIML opportunities.   • Partner with translational science, target discovery and biomarker discovery groups to advance AIML applications.   • Clinical Development Alignment : Collaborate with RIIRU Clinical Development Leads to align objectives with strategic clinical development plans, ensuring translational research efforts remain relevant and impactful.   • Research Clinic Engagement : Dedicate one day per week to attend a research clinic, such as an internal medicine clinic, at a partner translational research network hospital. Contribute to GSK-sponsored studies, providing real-world clinical context to our research.      AIML and Innovation    • Novel Use Case Identification : Proactively identify innovative, high-impact AIML applications in oncology, especially through LLMs, multimodal data analysis, and emerging technologies, using your understanding of clinical workflows and unmet needs.   • Product Scoping : Lead the scoping of new AIML products and projects. Define problem statements, outline clinical and scientific requirements, and collaborate with data scientists and engineers to evaluate feasibility and potential impact.   • Multimodal Data Interpretation : Work with data scientists to interpret and provide clinical context for AIML-generated insights from diverse data types, including clinical notes, pathology images, genomic data, and patient-reported outcomes.   • LLM Application and Validation : Guide the application of Large Language Models for oncology use cases such as synthesising scientific literature, summarising clinical trial data, and identifying novel patient cohorts or biomarkers. Provide clinical validation to ensure LLM outputs are accurate, safe, and meaningful.   • Target Identification & Biomarker Discovery : Partner with

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