Lecturer/Senior Lecturer in AI and One Health Biomedical Data Sciences

The University of Surrey is seeking a research leader in AI and One Health biomedical data science, offered at Lecturer B or Senior Lecturer level. The job is to build an externally funded programme that combines AI with biomedical, environmental and socio-economic data across humans, animals and the environment. Human health is the primary focus, with scope to draw on Surrey’s veterinary strengths and to teach in the School of Veterinary Medicine. Senior appointment requires an established programme and sustained research income.

What the job involves

• Build an independent, externally funded research programme and establish yourself as a Principal Investigator, securing competitive income from UK and international funders
• Use the combined human, animal and biological data available across Surrey to tackle major health challenges
• Apply AI approaches to the research of other researchers in the School
• Develop collaborations with NHS organisations, clinical researchers and industry to turn methods into real-world health impact
• Produce high-quality publications and demonstrable impact
• Teach undergraduate and postgraduate students in the School of Veterinary Medicine, including developing AI, data science and evidence-based content
• Provide interdisciplinary teaching and research training
• Inspire students to see how data, AI and computational approaches are changing healthcare

What’s required

Experience

• Established research programme (Senior Lecturer level)
• Sustained record of winning competitive research income (Senior Lecturer level)
• Track record of research leadership and collaboration suited to career stage

Skills & knowledge

• AI and machine learning for biomedical and health applications
• Large-scale or multimodal biomedical data, including imaging, genomics and multi-omics
• Clinical AI, decision support, AI-enabled diagnostics or precision medicine
• Biomedical informatics, health data science, digital health or population health
• Generative AI and foundation models, or computational approaches to biological and physiological data
• Trustworthy, explainable and responsible AI in healthcare

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