Latest UK roles, updated daily.
This role involves leading the development and delivery of strategic life sciences partnerships for the South West Secure Data Environment (SWSDE). Responsibilities include building relationships with life science organizations, developing commercial models, and ensuring governance and ethical standards are maintained.
This role involves building and maintaining scalable data services and platforms that support AI-driven drug discovery. You'll work closely with scientists and ML researchers to ingest, transform, and serve complex scientific data, enabling high-velocity research. The position requires strong backend engineering skills, particularly in Python and GCP, within a collaborative, interdisciplinary environment.
Leads the design and enterprise-wide enablement of AstraZeneca’s semantic platform, establishing foundational models, canonical entities, and reusable standards to ensure consistent, machine-readable data meaning across platforms and domains. Drives adoption by aligning semantic architecture with business use cases, integrating structured and unstructured data, and enabling interoperability for AI and agentic systems. Operates in a federated model with cross-functional collaboration across data, product, and technology teams.
This role involves leading pharmacovigilance and risk management strategies for GSK’s global assets, with a focus on immunology. The Scientific Director will evaluate safety data, lead cross-functional teams, and ensure compliance in clinical development and post-marketing settings. The position requires deep expertise in safety evaluation, signal detection, and international regulatory standards.
This role involves leading pharmacovigilance and risk management strategies for GSK's global assets, with a focus on safety evaluation and benefit-risk management across clinical development and post-marketing settings. The position requires expert analysis of clinical and safety data, leadership in cross-functional governance teams, and strategic input into regulatory submissions and risk mitigation. It plays a critical part in ensuring patient safety and regulatory compliance within immunology and other therapeutic areas.
This role leads the identification, evaluation, and advancement of early-stage external innovation opportunities in the Cardiovascular/Renal therapeutic area. The individual will shape sourcing strategies, co-lead cross-functional assessment of new product opportunities, and drive due diligence and transaction execution in collaboration with Business Development. Embedded in the Therapeutic Area Leadership Team, the position plays a strategic role in portfolio development and external engagement with biotech, academia, and investors.
Oversees the vendor responsible for logging and triaging global adverse event reports in CSL's pharmacovigilance system, ensuring accurate, timely, and compliant case intake. Develops guidance, provides training, and maintains audit readiness for regulatory compliance. Acts as subject matter expert on intake processes across cross-functional projects and procedural documentation.
As an R&D Scientist, you will work in a state-of-the-art lab, generating high-quality immune profiling data using advanced cytometry and single-cell technologies. Your key responsibilities include performing flow cytometry assays, isolating immune cells from human blood, preparing samples for RNA sequencing, and maintaining quality control standards. You will collaborate with multidisciplinary teams and support ongoing research projects, with some weekend work required.
The role involves leading projects to develop and benchmark AI models for predicting biological processes using genomic, multi-omic, and phenotypic data. The researcher will also contribute to statistical analysis, hypothesis testing, and preparing grant applications.
This PhD position involves developing AI tools for subcellular proteomics data analysis, focusing on statistical and probabilistic modelling of complex biological datasets like mass spectrometry and imaging. The role requires building and extending computational pipelines, with a particular interest in Bayesian inference and hierarchical data structures. Work is conducted within a pan-European research network in collaboration with Oxford.
This role involves designing and executing biological screening cascades to validate computational predictions in drug discovery. The scientist will lead biophysical, biochemical, and cellular assay development, collaborate with CROs, and bridge AI-driven insights with experimental validation across oncology and immunology programs. Close collaboration with medicinal chemistry, structural biology, and machine learning teams ensures data informs rational drug design.
This role focuses on building advanced operational models and simulations to optimise Autolus' end-to-end processes across manufacturing, testing, supply chain, and quality. The individual will integrate data from multiple systems to create analytical frameworks that drive strategic decisions, improve capacity planning, and support business cases. It is a highly technical, insight-driven position requiring deep expertise in data modelling, cross-functional collaboration, and problem-solving in a regulated biopharmaceutical environment.
Leads toxicology strategy for immune oncology drug development, integrating regulatory and preclinical safety science to guide candidate selection and regulatory submissions. Works across discovery and development to assess immune-related safety risks of novel immunotherapies. Provides scientific leadership, mentors junior toxicologists, and contributes to licensing decisions and external collaborations.
This role involves end-to-end ownership of computerised system validation (CSV) for GxP-regulated systems used in the manufacturing and testing of advanced CAR-T cell therapies. The engineer will author and execute validation documentation, ensure compliance with international regulations (e.g. FDA 21 CFR Part 11, EU GMP Annex 11), manage change controls and CAPAs, and support regulatory inspections. The position requires strong technical writing, cross-functional collaboration, and expertise in GAMP 5 and data integrity within a biopharmaceutical context.
This role involves designing and executing bioanalytical and immunogenicity strategies to support mRNA-based therapeutic development. The scientist will lead assay development for clinical programmes using platforms like ELISA, MSD, and cell-based methods, ensuring regulatory compliance and robust data generation. The position emphasizes collaboration across multidisciplinary teams and integration of digital tools and AI to advance Moderna's pipeline.
