About us
Join Us as a Research Fellow of Clinical AI & Health Equity at the UCL Institute of Health Informatics.
Are you passionate about data-driven research and improving health outcomes?
Come join the UCL Institute of Health Informatics (IHI) - a vibrant, collaborative environment at the heart of UCL's world-leading Faculty of Population Health Sciences.
The UCL Institute of Health Informatics (IHI) was established in August 2014 within the Faculty of Population Health Sciences. Our mission is to conduct high-quality, data-intensive research to improve health outcomes locally, nationally, and globally.
IHI delivers one of the UK's largest and most highly regarded teaching programmes in health informatics and health data science. We are also proud to host one of the four UKRI Centres for Doctoral Training in AI in Healthcare, supporting the next generation of leaders in the field.
The Faculty of Population Health Sciences is UCL's largest research-based faculty, comprising eight institutes dedicated to advancing health through innovative research and education.
Learn more at www.ucl.ac.uk/population-health-sciences
About the role
We're looking for a Research Fellow to join our team and help shape the future of health informatics. You'll play a key role in delivering core elements such as input to strategic research planning and management as well as conducting research on a collective basis with the responsibility for delivering results within the project timelines.
This is a full-time post (36.5 hours per week), funded until 31 May 2026, with the possibility of extension.
For informal enquiries, please contact Honghan Wu at honghan.wu@ucl.ac.uk
For questions about the recruitment process, contact Anita Gorasia at a.gorasia@ucl.ac.uk
Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at research assistant Grade 6B (salary £38,607 - £41,255 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.
About you
If you believe you meet the requirements, come and be part of this unique and exciting opportunity and contribute to our mission to improve health outcomes through research.
You'll have:
• A PhD in computing science, informatics or related discipline or equivalent experience
• Excellent knowledge in machine learning and clinical risk predication models
• Strong communication skills and confidence in managing participant interactions
• Experience in working with large scale real world electronic health records
Please review the full job description before applying. Be sure to address all essential and desirable criteria in your application questionnaire
What we offer
At UCL, we believe work should fit around life - not the other way around. That's why we offer flexible working options, including part-time roles and job-sharing opportunities wherever possible.
But it's not just about flexibility - it's about feeling rewarded, too.
When you join UCL, you'll enjoy:
• 41 days of holiday (pro rata for part-time staff) - that's 27 days of annual leave, 8 bank holidays, and 6 closure days
• Cycle to work scheme - save money and stay healthy
• Season ticket loan - making your commute more affordable
• On-site gym - fitness made convenient
• Employee Assistance Programme - for confidential wellbeing support when you need it.
Whether you're looking to grow your career or simply find a better balance, UCL could be the right place for you.
Learn more about our full range of benefits at: ucl.ac.uk/work-at-ucl/reward-and-benefits
Our commitment to Equality, Diversity and Inclusion
The Institute prides itself on operating in an all-inclusive environment irrespective of personal, physical, or social characteristics.
As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.
We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from:
• Black, Asian and ethnic minority backgrounds
• disabled people
• LGBTQI+ people
• Women
You can read more about our commitment to Equality, Diversity, and Inclusion https://www.ucl.ac.uk/equality-diversity-inclusion