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.
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 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.
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 leading the development and deployment of Lab-in-an-Automated-Loop (LIAL) systems, integrating computational intelligence with physical laboratory experimentation. Responsibilities include collaborating with cross-functional teams to design and implement integrated systems, driving innovation with AI and data automation, and mentoring early-career scientists.
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.
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.
The Executive Director, Asset Team Lead, will drive the strategic positioning of clinical assets in oncology and immunology, leveraging Recursion's proprietary OS and ClinTech insights. This role involves cross-functional collaboration to ensure the advancement of transformative medicines, with a focus on competitive positioning and patient benefit.
This role involves leading the end-to-end clinical supply chain strategy for global trials, managing demand forecasting, packaging, labeling, distribution, and inventory. You will work closely with cross-functional teams to ensure supply strategies align with trial milestones and commercial readiness, leveraging AI and advanced tools to optimize processes.
