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.
The Head of Operational Excellence leads process improvement activities and staff, aligning projects with business strategies. They establish and maintain performance metrics, manage operational processes, and oversee training and development of subject matter experts in a regulated, global matrix organization.
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 involves using ultra-long-read and hybrid sequencing technologies to explore highly repetitive DNA sequences in childhood cancer. You will develop laboratory protocols, produce sequencing data, and perform bioinformatic analysis with support from biostatisticians.
The Senior EHS Advisor role involves providing EHS leadership and technical guidance during the decommissioning and transition of a manufacturing site. Key responsibilities include risk management, incident prevention, compliance, and stakeholder engagement, with a focus on ensuring safety and environmental standards are met throughout the decommissioning process.
This postdoctoral position involves leading the preparation and analysis of skeletal muscle samples for proteomic and transcriptomic workflows, focusing on the 'dark proteome' in facioscapulohumeral muscular dystrophy (FSHD). The role combines technical leadership with broader involvement in translational research, collaborating with international partners.
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.
Lead translational strategies for oncology and immunology programs by designing in vivo pharmacology and PK/PD studies to validate AI-designed drug candidates. Bridge computational predictions with experimental validation through CRO partnerships and biomarker-driven approaches. Drive preclinical data generation to inform clinical trial design and regulatory filings.
This role involves leading biosampling activities for clinical studies in the UK, designing and delivering biosampling plans, coordinating with study teams, sites, and laboratories, and ensuring sample quality and patient safety. The position offers opportunities for growth and impact within GSK's mission to advance healthcare.
This role involves designing and executing biochemical and molecular biology assays to support pharmacokinetic/pharmacodynamic analysis. Responsibilities include developing robust mRNA-based bioanalytical capabilities, troubleshooting scientific issues, and collaborating with external partners. The position also offers opportunities to work with Generative AI and digital tools to enhance scientific workflows.
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 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.
