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- Tasks: Lead AI integration in health and life sciences, driving innovative projects and mentoring junior researchers.
- Company: University of Hertfordshire, committed to transforming lives through research and innovation.
- Benefits: Generous annual leave, flexible working, professional development, and family-friendly policies.
- Why this job: Make a real impact on healthcare with cutting-edge AI technology and collaborative partnerships.
- Qualifications: PhD in AI or related field, with strong research and leadership experience.
- Other info: Join a diverse community dedicated to equality, diversity, and inclusion.
The predicted salary is between 40000 - 50000 £ per year.
Organisation/Company: UNIVERSITY OF HERTFORDSHIRE
Research Field: Engineering, Computer Science
Application Deadline: 26 Apr 2026 - 00:00 (UTC)
Country: United Kingdom
Type of Contract: Other
Job Status: Full-time
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure? No
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
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.
- 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.
- Strong record of scholarly work, successful funding applications, and presenting research at local, national, and international forums.
- 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.
- Work accurately under pressure to tight deadlines and effectively in teams.
- Committed to continuous learning and development while handling sensitive data with confidentiality and care.
- Can-do attitude to problem-solving, tact and 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.
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.
AI Senior Research Innovation Fellow in London employer: University of Hertfordshire
Contact Detail:
University of Hertfordshire Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Senior Research Innovation Fellow in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and healthcare sectors. Attend relevant events, webinars, or conferences where you can meet potential collaborators or employers. Remember, it’s all about who you know!
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your research projects, publications, and any successful funding applications. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for those interviews! Research the University of Hertfordshire and their current projects in AI and health. Be ready to discuss how your skills align with their goals and how you can contribute to their mission.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us. Don’t miss out on this opportunity!
We think you need these skills to ace AI Senior Research Innovation Fellow in London
Some tips for your application 🫡
Tailor Your Personal Statement: Make sure your personal statement is a perfect match for the job description. Highlight your skills and experiences that align with the role of AI Senior Research Innovation Fellow, especially in areas like predictive diagnostics and mentoring.
Showcase Your Research Impact: We want to see how your past research has made a difference! Include specific examples of projects you've led or contributed to, especially those that involved AI in healthcare or biomedical innovation.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your qualifications and experiences, making it easy for us to see why you’re the right fit for this role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure we receive all your details correctly and can review your application without any hiccups.
How to prepare for a job interview at University of Hertfordshire
✨Know Your AI Stuff
Make sure you brush up on the latest trends and techniques in AI, especially those relevant to healthcare and biomedical innovation. Be ready to discuss your experience with ML/DL techniques, NLP, and predictive modelling, as these will be key topics during your interview.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior colleagues and leading research teams, prepare examples of how you've successfully led projects or initiatives in the past. Highlight your ability to manage collaborative partnerships and drive strategic initiatives.
✨Prepare for Ethical Discussions
Given the focus on responsible AI use, be prepared to discuss ethical considerations in AI applications. Think about how you would contribute to policy frameworks and ensure that AI is used responsibly in healthcare settings.
✨Craft a Compelling Personal Statement
Your personal statement should clearly align your skills and experiences with the job requirements. Use specific examples to demonstrate how you meet the criteria, particularly in areas like funding applications and public engagement.