AI Senior Research Innovation Fellow
| Dyddiad hysbysebu: | 05 Mawrth 2026 |
|---|---|
| Cyflog: | £46,049 i £58,225 bob blwyddyn |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 26 Mawrth 2026 |
| Lleoliad: | Hatfield, Hertfordshire |
| Gweithio o bell: | Ar y safle yn unig |
| Cwmni: | University of Hertfordshire |
| Math o swydd: | Dros dro |
| Cyfeirnod swydd: | REQ000549 |
Crynodeb
Post Title: AI Senior Research Innovation Fellow
SBU/Department: School of Health, Medicine and Life Science
FTE: 1.0 fte (working 37 hours per week)
Duration of Contract: Fixed Term (2 years)
Salary: UH8 £46,049pa to £58,225pa 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
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, personalized medicine, and clinical trial optimization, while collaborating with internal and external stakeholders, NHS partners, and industry to deliver demonstrator projects with tangible outcomes. In addition to research leadership, you will mentor junior colleagues, Integrate 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
We are seeking an accomplished AI researcher with substantial experience leading research teams and projects, mentoring junior staff, and managing collaborative partnerships with academic and external organisations. You will have a strong record of scholarly work, successful funding applications, and presenting research at local, national and international forums. PhD supervision and public engagement experience is also desirable. You will bring deep expertise in ML/DL techniques, NLP, computer vision, and predictive modelling, alongside excellent IT, analytical, interpersonal and communication skills in spoken and written English. You must be able to collect, process and present data with excellent analytical skills, be methodical, adaptable and proactive to team and workload requirements, you can work accurately under pressure to tight deadlines, work effectively in teams, and are committed to continuous learning and development while handling sensitive data with confidentiality and care. You will have a can-do attitude to problem solving, have tact and diplomacy, as well as the initiative to learn new skills and demonstrate continuous development.
Qualifications required
You will have a degree or equivalent level 6 qualification, or higher qualification in a relevant discipline. You will also have a 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 Research) r.callaghan@herts.ac.uk
Closing Date: 26 March 2026
Interview Date: TBC
Reference Number: REQ000549
Date advert placed: 05 March 2026
SBU/Department: School of Health, Medicine and Life Science
FTE: 1.0 fte (working 37 hours per week)
Duration of Contract: Fixed Term (2 years)
Salary: UH8 £46,049pa to £58,225pa 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
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, personalized medicine, and clinical trial optimization, while collaborating with internal and external stakeholders, NHS partners, and industry to deliver demonstrator projects with tangible outcomes. In addition to research leadership, you will mentor junior colleagues, Integrate 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
We are seeking an accomplished AI researcher with substantial experience leading research teams and projects, mentoring junior staff, and managing collaborative partnerships with academic and external organisations. You will have a strong record of scholarly work, successful funding applications, and presenting research at local, national and international forums. PhD supervision and public engagement experience is also desirable. You will bring deep expertise in ML/DL techniques, NLP, computer vision, and predictive modelling, alongside excellent IT, analytical, interpersonal and communication skills in spoken and written English. You must be able to collect, process and present data with excellent analytical skills, be methodical, adaptable and proactive to team and workload requirements, you can work accurately under pressure to tight deadlines, work effectively in teams, and are committed to continuous learning and development while handling sensitive data with confidentiality and care. You will have a can-do attitude to problem solving, have tact and diplomacy, as well as the initiative to learn new skills and demonstrate continuous development.
Qualifications required
You will have a degree or equivalent level 6 qualification, or higher qualification in a relevant discipline. You will also have a 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 Research) r.callaghan@herts.ac.uk
Closing Date: 26 March 2026
Interview Date: TBC
Reference Number: REQ000549
Date advert placed: 05 March 2026
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