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

The University of Surrey is seeking to appoint an ambitious and internationally minded Lecturer/Senior Lecturer in AI and One Health Biomedical Data Sciences to help shape the next phase of research at our School.

This is an exciting opportunity for an established or emerging research leader working at the interface of artificial intelligence, data science, multi-source data integration (biomedical but also environmental and socio-economic data) and health, broadly defined across humans, animals and the environment. with the ambition to develop a distinctive programme of internationally recognised, interdisciplinary research. We are particularly interested in researchers whose work can address important challenges in human health, while also creating opportunities to translate methodologies and discoveries across veterinary and animal health within a broader One Health framework.

The successful candidate will join a School with an ambitious vision for the future of AI led research in healthcare. You will be expected to develop a strong PI-led research programme, attract significant external research funding and build collaborations across Surrey and beyond. The role provides considerable scope to develop research in human health providing an important primary focus while exploiting Surrey's distinctive veterinary and One Health environment.

The appointed candidate will have the opportunity to work across disciplinary boundaries with researchers in medicine, veterinary medicine, health sciences, computer science, engineering, psychology, biosciences and other areas of the University.

About the role

In the role you will:

Develop an independent, externally funded, sustainable research programme and to establish themselves as a Principal Investigator, securing competitive research income across relevant UK and international funding landscapes. This will include opportunities to develop research aligned with NIHR priorities, alongside UKRI, Wellcome Trust, medical charities, industry and other major funders

Employ the unique combination of human, animal and biological data available across Surrey to address major health challenges and generate new knowledge.

Work collaboratively with other researchers in the School to apply artificial intelligence approaches to their research

Develop collaborations with NHS organisations, clinical researchers, industry and other external partners, translating methodological innovation into real-world health impact

Generate high-quality publications and demonstrable impact

Contribute to teaching at undergraduate and postgraduate level within the School of Veterinary Medicine, including the development of AI, data science and evidence-based approaches within the curriculum, as well interdisciplinary teaching and research training.

Inspire students to understand how data, AI and computational approaches are transforming modern healthcare.

For appointment at Senior Lecturer level, we would expect evidence of an established research programme, successful and sustained research income generation and a track record of research leadership and collaboration commensurate with career stage.

Please note that these roles will be offered at either Lecturer B or Senior Lecturer level depending on your experience (see job profile below for further details). The salary range for a Lecturer B starts at 48,337 and Senior Lecturer starts at 59,390.We are looking for expertise in areas such as, but not limited to:

Artificial Intelligence and Machine Learning for biomedical and health applications

Large-scale and multimodal biomedical data Generative AI and foundation models

Clinical AI and decision supportAI-enabled diagnostics and precision medicine

Biomedical informatics and health data science

Digital health and population health

Computational approaches to biological and physiological data Trustworthy, explainable and responsible AI in healthcare AI for imaging, genomics, multi-omics or other high-dimensional biological datasets

How to apply

Please apply on the University website with your CV and cover letter also answering the criteria questions.

For more information and to apply online, please download the further details and click on the 'apply online' button above. In return we offer a generous pension, relocation assistance where appropriate , flexible working options including job share and blended home/campus working locations (dependent on work duties), access to world-class leisure facilities on campus, a range of…