"AI Research Fellowship in Health, Medicine and Life Sciences"

Annual Leave:

35 days plus standard public holidays and an additional 4 days, including the closure of our office between Christmas and New Year

Location:

College Lane Campus

This fellowship offers a unique opportunity to apply cutting-edge AI techniques to real-world challenges in health, medicine, and the life sciences. This is an ideal role for a technically strong, forward-thinking researcher who wants to drive meaningful innovation, champion ethical AI, and make a tangible difference to health and biomedical research.

Main duties and responsibilities

You will design and validate AI models across diverse domains, from clinical trials and pharmaceutical research to biomedical analytics, biomechanics, and sports science, while delivering high-impact demonstrations that showcase the power of AI in practice. Working closely with senior academics, students, and external partners, you will help embed AI into interdisciplinary projects, shape the School’s AI capability, and contribute to grant writing, publications, and international collaborations. You will also play a key role in building AI capacity through training workshops, student supervision, and active participation in academic life.

Skills and experience required

You will have practical experience in research teams, scholarly publications, conference presentations, and robust coding practices, including version control and reproducible data pipelines. Proficiency in Python, ML frameworks such as TensorFlow or PyTorch, statistical analysis, and strong IT skills are essential. You will thrive under tight deadlines, handling sensitive data with confidentiality, and have a methodical, detail-oriented approach. You will have excellent communication, interpersonal, and presentation skills, combined with adaptability, initiative, and commitment to continuous learning. Public engagement experience is desirable.

Qualifications required

We’re looking for a talented AI researcher with a degree or equivalent level 6 qualification, or higher qualification in a relevant discipline, as well as a PhD (or equivalent level 8 qualification) in AI, Data Science, Computer Science, Biomedical Engineering, or a related field, or equivalent experience.

Please view the job description and person specification for a full list of the duties and essential criteria. Please attach a personal statement showing clearly how your skills and experience match the person specification.

Internal applicants – please ensure you apply via your employee self-service portal.

An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate.

Please note, this post cannot be visa sponsored unless you can evidence a PhD / Doctorate.

Contact Details/Informal Enquiries:

Rich Callaghan (Associate Dean for Research) r.callaghan@herts.ac.uk

Closing Date:

26 March 2026

Interview Date:

TBC

Reference Number:

REQ000550

Our vision is to transform lives: UH is committed to Equality, Diversity, and Inclusion and building a diverse community. We welcome applications from suitably qualified and eligible candidates regardless of their protected characteristics and recognise that there are different ways applicants may achieve the criteria in this document. We offer a range of employee benefits, including generous annual leave, flexible location opportunities within the UK, discounted Sports Village memberships, free Active Staff sessions, personal and professional development, and family-friendly policies. #GoHerts