Associate Professor in Medical Artificial Intelligence (AI) and Data Science (ATR1731)

Salary will be £58,225 per annum, with an annual increment up to £67,468 per annum

Faculty of Medicine and Health Sciences

Norwich Medical School

Associate Professor/Senior Lecturer in Medical Artificial Intelligence (AI) and Data Science (2 Posts)

Ref: ATR1731

Salary on appointment will be £58,225 per annum, with an annual increment up to £67,468 per annum.

The Norwich Medical School is looking to appoint two Associate Professors/Senior Lecturers in Medical Artificial Intelligence (AI) and data science on our Academic Teaching and Research (ATR) pathway. You will be involved in research and innovation, and in the development and delivery of teaching. We are particularly interested in candidates that may be able to contribute to expanding our research and teaching portfolio in areas of growth such as Artificial Intelligence within the medicine and healthcare sector, and areas of excellence including data science.

You will be expected to have a strong recent track record of attracting research funding from government or industry in areas linked to AI, data science or related domains, particularly in application to medicine and health sciences, and will also have a strong portfolio of recent research publications in prestigious international journals. It is also desirable that you have an extensive network of national and international collaborators from academia, government and industry.

A PhD (or equivalent qualification) in a relevant subject area with proven experience of high-quality undergraduate and postgraduate teaching is essential. This includes experience of teaching and research in Artificial Intelligence and its application to Medicine and Healthcare, ideally with a research focus in areas such as machine learning, medical image analysis, clinical natural language processing, or AI for precision medicine. The successful candidate will contribute to developing and delivering innovative interdisciplinary teaching at the interface of computing and health sciences, and to advancing research that translates AI innovations into clinical impact, therefore experience in module development in this area would be desirable.

You may have evidence of leadership of course development and the use of a range of both innovative and traditional pedagogical practices. Experience of PhD supervision is essential.

As part of the wider UEA and Norwich Research Park ecosystem, the School enjoys close collaborations with School of Computing Science and the School of Health Sciences as well as the NNUH which is one of the UK’s largest hospitals with over 60 specialist services in situ. The wider Norwich Research Park is one of the world’s largest concentrations of research institutions in biological sciences with medical technology as one of the key fields of research.

These full‑time posts are available on an indefinite basis.

We value diversity and are committed to creating an inclusive culture where everyone can thrive. We particularly welcome applicants with the protected characteristics of disability, race (Black, Asian and minority ethnic), and sex (female), for this post, as they are currently underrepresented at this level within the School. Appointment will be made on merit and all applicants will be scored against the same criteria.

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• 44 days annual leave inclusive of Bank Holidays and University Customary days (pro rata for part-time).
  
• Family and Work‑life balance policies including hybrid working and considerable maternity, paternity, shared parental leave and adoption leave.
  
• Generous pension scheme with life cover for dependants, plus incapacity cover.
  
• Health and Wellbeing: discounted access to Sportspark facilities, relaxation rooms, 320 acres of rolling parkland, wellbeing walks, Wellbeing Ambassador network, on‑campus medical centre including NHS Dentist, Occupational Health and a 24/7 Employee Assistance Programme.
  
• Campus Facilities: Sportspark, library, nursery, supermarket, post office, bars and catering outlets.
  
• Exclusive shopping discounts to help cut the cost of household bills, childcare salary sacrifice scheme, Cycle to Work scheme and public transport discounts.
  
• Personal Development: unlimited access to LinkedIn Learning courses, specialist advice and training from our Organisational Development and Professional Learning Team.
  

Closing date: 5 January 2026

The University holds an Athena Swan Silver Institutional Award in recognition of our advancement towards gender equality.

For further information, including the Job Description and Person Specification, please see the attached Candidate Brochure.

For an informal discussion about the post please contact the Head of School PAvia