Lead clinical development for vascular programmes across early and late-phase studies, shaping clinical plans and study designs to accelerate safe, meaningful medicines for vascular disease. Work cross-functionally with translational science, regulatory, safety, and commercial teams to deliver clinical development strategies and drive innovation in cardiovascular medicine.
A Principal Scientist role in Translational Omics focusing on computational analysis of multi-omic data such as single-cell and spatial transcriptomics, proteomics, and metabolomics to inform drug development decisions. The role involves close collaboration with cross-functional teams to derive insights in hepatology, renal, metabolic, and cardiovascular diseases, with a strong emphasis on biomarker discovery and patient stratification. The position requires advanced expertise in statistical and machine learning methods applied to large-scale biological datasets.
Designs and engineers protein tools, including nanopores and enzymes, using molecular cloning, protein expression (bacterial, mammalian, cell-free), and purification techniques (FPLC, IMAC, SEC). Applies protein engineering methods (rational design, directed evolution) to optimise sensing applications and supports interdisciplinary collaboration with device engineers. Maintains plasmid and protein libraries, establishes SOPs, trains junior staff, and ensures rigorous experimental documentation and compliance with safety standards.
This role involves curating expert rules for interpreting antimicrobial resistance (AMR) genotypic data, analysing whole genome sequences and antimicrobial susceptibility test (AST) results, and supporting the development of diagnostic tools. The scientist will investigate novel resistance mechanisms, collaborate on machine learning models, and contribute to a large-scale pathogen database using long-read sequencing. Work is primarily desk-based with opportunities for lab research and cross-team collaboration in a high-impact, translational environment.
This role involves installing, maintaining, and repairing advanced medical diagnostic systems used in NHS and private pathology laboratories. The engineer will provide on-site technical support, troubleshoot complex issues, and ensure equipment operates reliably. Full product training is provided, and the role offers extensive customer interaction across healthcare and scientific environments.
This role involves servicing and repairing advanced medical diagnostic systems used in NHS laboratories and clinical chemistry environments. The engineer will visit customer sites to perform maintenance, troubleshoot issues, and deliver technical solutions while working closely with laboratory staff. The position requires a technically skilled individual with experience in high-value capital equipment and offers extensive product training.
This role leads the implementation of data-driven, adaptive monitoring strategies across global clinical trials to enhance trial quality and efficiency. The position shapes monitoring standards, tools, and governance frameworks while driving innovation through analytics and technology. It involves leading change initiatives and collaborating with cross-functional teams to improve clinical trial oversight at scale.
This role involves leading the end-to-end safety strategy for priority pharmaceutical programs in the Cardio Renal Metabolism (CRM) therapeutic area, from development through lifecycle management. The individual will serve as the scientific safety leader, driving safety governance, benefit-risk assessments, and regulatory interactions, while mentoring teams and embedding safety insights across global functions. It requires deep expertise in pharmacovigilance, cross-functional leadership, and clear communication of complex safety data.
Leads a data science and AI team focused on developing AI accelerators and agentic workflows within commercial analytics for international markets. Drives end-to-end machine learning solutions in the cloud, translating data insights into strategic business impact across pharma commercial functions. Works cross-functionally to build native AI capabilities and deliver scalable data products that influence brand and marketing decisions.
Leads a data science and AI team focused on developing agentic AI and machine learning solutions within commercial analytics for international markets. Drives end-to-end development of AI accelerators, translating complex data insights into strategic business impact. Collaborates cross-functionally to build scalable cloud-based ML/LLM systems and influence decision-making across pharma commercial domains.
