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.
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.
The Associate Director, Biostatistics, leads statistical contributions to clinical development programs, including study design, data analysis, and regulatory submissions. They collaborate with cross-functional teams, manage outsourcing, and ensure the quality and timeliness of deliverables.
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.
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.
The Study Start-Up Lead (SSUL) drives efficient clinical trial start-up processes, ensuring timely site activation and regulatory compliance. Key responsibilities include strategic planning, operational oversight, and collaboration with external stakeholders to innovate and improve trial delivery.
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.
This role involves performing routine environmental monitoring, water sampling, and microbiological testing (including sterility, bioburden, and endotoxin) for mRNA products in a GMP-regulated manufacturing environment. The analyst will support method transfers, data review, investigations, and compliance activities while working closely with internal teams and contract laboratories. Emphasis is placed on digital workflows, data integrity, and adherence to cGMP standards.
This role involves developing machine learning models grounded in quantum chemistry to accelerate small-molecule drug discovery. The scientist will create synthetic datasets using quantum mechanical methods, build scalable and reproducible ML pipelines, and collaborate with computational and experimental teams to model molecular energetics and protein–ligand interactions. Work contributes directly to drug design tools at Roche, with opportunities for scientific publication and open-source contributions.
Design and build scalable cloud infrastructure for AI and agentic systems, focusing on model serving, reliability, and efficient deployment across the full software lifecycle. Work closely with ML engineers and scientists to deliver robust, high-performance systems on GCP. Implement CI/CD, monitoring, and cloud-native architectures to support production AI workloads.
Balance technical, regulatory and commercial challenges in this fulfilling roleThis highly regraded Cambridge-based medical technologies company is seeking a proven engineering leader to help guide high-value development programmes from concept through to transfer to manufacture. Your leadership will accelerate development...
