SBU/Department: School of Health, Medicine and Life Sciences
FTE: 1.0 FTE (37 hours per week)
Duration of Contract: Fixed Term (2 years)
Salary: UH8 £46,049 pa to £58,225 pa by annual increments on achieving designated skills and experience
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, Hatfield
Overview
This senior fellowship offers a high-impact opportunity to lead the integration of AI across health, medicine, and life sciences. This role is ideal for an experienced researcher eager to advance digital transformation, build institutional AI capability, and make a lasting impact on healthcare and biomedical innovation.
Main Duties And Responsibilities
* Drive strategic initiatives, shaping AI adoption in areas such as predictive diagnostics, personalised medicine, and clinical trial optimisation.
* Collaborate with internal and external stakeholders, NHS partners, and industry to deliver demonstrator projects with tangible outcomes.
* Lead research leadership, mentoring junior colleagues, and integrating AI strategies into grant proposals and fellowship applications by research staff.
* Lead training on AI and data governance, and contribute to policy and ethical frameworks for responsible AI use.
Skills And Experience Required
* Accomplished AI researcher with substantial experience leading research teams and projects, mentoring junior staff, and managing collaborative partnerships with academic and external organisations.
* Strong record of scholarly work, successful funding applications, and presenting research at local, national and international forums.
* PhD supervision and public engagement experience are also desirable.
* Deep expertise in ML/DL techniques, NLP, computer vision, and predictive modelling.
* Excellent IT, analytical, interpersonal and communication skills in spoken and written English.
* Ability to collect, process and present data with excellent analytical skills; methodical, adaptable, proactive, and able to work accurately under pressure to tight deadlines.
* Proactive learning mindset, can‑do attitude, tact and diplomacy, and initiative to learn new skills.
Qualifications Required
* Level 6 qualification or higher, or an equivalent degree.
* PhD (or equivalent) in AI, Data Science, Computer Science, Biomedical Engineering, or a related field, or equivalent experience applying AI/ML to healthcare or biomedical data.
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: REQ000549
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
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