Strategic AI Research Leader for Health & Biomed in Hatfield

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

• You will 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.
• Mentor junior colleagues and integrate AI strategies into grant proposals and fellowship applications by research staff.
• Lead training on AI and data governance.
• 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.
• Experience 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.
• Desirable experience in PhD supervision and public engagement.
• 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, and proactive to team and workload requirements.
• Ability to work accurately under pressure to tight deadlines and effectively in teams.
• Commitment to continuous learning and development while handling sensitive data with confidentiality and care.
• Can-do attitude to problem-solving, tact, diplomacy, and initiative to learn new skills.

Qualifications Required

• Degree or equivalent Level 6 Qualification, or a higher qualification in a relevant discipline.
• 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.