a Head of Scientific Compute to shape the future of computational research by leading the development of cutting-edge infrastructure to support high-performance computing, AI-driven analytics, and large-scale data processing. Working at the intersection of genomics, synthetic biology, and chemistry, you'll collaborate with researchers and … teams to design tailored computational solutions, ensuring compliance with data management best practices. You'll recruit, mentor, and lead a multidisciplinary team while optimising computing resources for scalability and efficiency. Key Responsibilities: Lead the development and implementation of a strategic vision for scientific computing, integrating advanced technologies to … support large-scale data processing, high-performance computing, and AI-driven analytics in genomic research. Oversee and manage the scientific computing infrastructure, ensuring it meets the evolving needs of computational biology, data analysis, and laboratory automation across diverse research programs. Collaborate closely with researchers and technical teams to More ❯
Oxford, Oxfordshire, United Kingdom Hybrid / WFH Options
PrecisionLife Ltd
and/or containerization (such as Docker) would be a plus Experience working with large data sets, Trusted Research Environments (TREs) and/or cloudcomputing platforms (AWS or Google Cloud) would be advantageous Familiarity with analysis of genomics, proteomics or transcriptomics data and/or electronic More ❯
Proven experience leading technical teams and managing complex technology and infrastructure projects. IT Systems: Strong knowledge of laboratory information management systems (LIMS), data storage, cloudcomputing, and networking within a scientific environment. Problem-Solving: Ability to troubleshoot complex systems, anticipate challenges, and deliver innovative solutions. Project Management: Strong More ❯
laboratory operations, engineering systems, and IT infrastructure in a research-intensive or technical environment. Strong knowledge of laboratory information management systems (LIMS), electronic notebooks, cloudcomputing, data storage. Laboratory experience (wet-lab skills) and understanding of regulatory compliance (e.g., GLP, ISO standards) in laboratory environments. Proven skills in More ❯
laboratory operations, engineering systems, and IT infrastructure in a research-intensive or technical environment. Strong knowledge of laboratory information management systems (LIMS), electronic notebooks, cloudcomputing, data storage. Laboratory experience (wet-lab skills) and understanding of regulatory compliance (e.g., GLP, ISO standards) in laboratory environments. Proven skills in More ❯