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...
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...
A Research Scientist in Machine Learning will develop novel deep learning models and algorithms to advance drug discovery at digital speed. Working in an interdisciplinary environment, they will apply cutting-edge ML techniques to complex biological and chemical problems, iterating closely with domain experts. The role involves leading high-ambition research projects, scaling training frameworks, and shaping the technical direction of AI-driven drug design.
This role involves leading the reliability and scalability of AI/ML infrastructure for biotech applications, focusing on GPU/TPU systems, workload orchestration, and inference services. The engineer will overhaul monitoring, improve CI/CD stability, and ensure robust platform performance to support cutting-edge drug discovery research. Close collaboration with research and applied ML teams is central to the role.
This role involves designing and executing experiments to develop next-generation platforms for continuous evolution, focusing on engineering orthogonal replication systems that enable rapid gene evolution while maintaining host viability. The researcher will analyze complex datasets using computational tools, contribute to novel methodologies, and collaborate across multidisciplinary teams to advance fundamental and applied research in generative biology. Emphasis is placed on innovation in evolutionary systems, mentoring junior scientists, and translating discoveries into real-world applications in health and sustainability.
This role involves designing and executing experiments in synthetic chromosome engineering, with a focus on centromere design, mitotic segregation, and meiotic control in mammals and plants. The researcher will develop novel methodologies, analyse genomic datasets, and contribute to foundational work in programmable synthesis of large genetic systems. Collaboration, publication, and mentoring are key components, within a multidisciplinary team advancing the engineering of biology.
The Quality Business Partner (QBP) role involves providing strategic quality advice and consultation for pre-clinical research and therapy areas. Key responsibilities include educating teams on Quality by Design, risk management, and fostering a strong quality culture. The QBP will work closely with R&D functions to implement quality strategies and support continuous improvement initiatives.
This role involves leading and supporting the operational delivery of complex oncology clinical trials, coordinating cross-functional inputs, and maintaining inspection readiness. The position offers opportunities for growth and strategic influence within GSK's clinical development programs.
This role involves leading and supporting the operational strategy and delivery for late-phase oncology clinical trials. Responsibilities include coordinating cross-functional inputs, maintaining inspection readiness, and contributing to protocol development and regulatory deliverables. The role offers opportunities for career growth and strategic influence within GSK's clinical operations team.
This role involves leading and supporting the operational strategy and delivery for complex oncology clinical trials, ensuring alignment with the clinical development plan. Responsibilities include coordinating cross-functional inputs, maintaining inspection readiness, and providing operational input for regulatory deliverables.
Lead statistical strategy for oncology clinical development, from study design through regulatory submission, using advanced methods like Bayesian approaches and real-world data. Partner with cross-functional teams to deliver robust analyses and influence key decisions. Drive innovation in trial design and evidence generation within a global biopharma environment.
This role involves leading and supporting the operational strategy and delivery for complex oncology clinical trials, coordinating cross-functional inputs, and maintaining inspection readiness. The position offers opportunities for growth and influence over program strategy.
This role involves leading and supporting the operational strategy and delivery for complex oncology clinical trials, coordinating cross-functional inputs, and maintaining inspection readiness. The position offers opportunities for growth and influence over program strategy.
This role involves performing targeted and non-targeted trace analysis of small and large molecules using mass spectrometry, developing sample preparation methods, and leading analytical projects from sample preparation to data interpretation and reporting. The position is hands-on and lab-based, with a focus on extractables and leachables, and includes contributing to regulatory submissions and overseeing work at CROs.
Lead statistical strategy across oncology clinical development, from early-phase trials to registration, using innovative methods like Bayesian modelling and real-world data. Design studies, guide regulatory submissions, and influence asset strategy within a matrix environment. Work closely with cross-functional teams to deliver robust statistical insights for key decision-making.
