Research Fellow of Clinical AI and Health Equity
Research Fellow of Clinical AI and Health Equity
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Job Description
CMVM / MGPHS / USHER Institute
UE07: 40497 to 48149
Full-time: 35 hours per week
Fixed Term available from 1st September 2025 until 31st January 2027
Location: Usher Institute Edinburgh BioQuarter (EH16 4UX)
We will consider requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular (weekly) on-campus working. The Usher Institute expects a minimum of 40% on campus working.
The Centre for Medical Informatic at the Usher Institute within The University of Edinburgh is looking for a post-doctoral research fellow with expertise in machine learning techniques to solve real world problems and large-scale datasets risk prediction models using large-scale real-world electronic health records and analysing and mining large-scale clinical data.
The Opportunity:
To join a team of experienced health data scientists AI specialists statisticians and clinical epidemiologists and contribute significantly to assess and mitigate data and AI induced bias from large scale national and local health record data resources. This role is part of the QMIA project enquiries may be directed to Honghan Wu Professor of Health Informatics and AI or Sarah Wild Professor of Epidemiology .
Your skills and attributes for success:
PhD or equivalent experience in computer science informatics or a related discipline (e.g. artificial intelligence machine learning)
machine learning techniques on solving real world problems and large-scale datasets
analysing and using large health datasets for risk prediction
excellent oral and written communication skills including peer-reviewed publications
ability to work effectively and flexibly in a multi-disciplinary team
Click to view a copy of the full job description (opens new browser tab).
Please include your CV and a supporting statement with details of how you meet the knowledge skills and experience required for this post.
Non-University of Edinburgh employees (i.e. external applicants) please refer to theHow to Apply External Candidatesystem user guide
Current University of Edinburgh employees (i.e. internal applicants) interested in applying for this role you must apply as an internal applicant through the People and Money Current Jobs refer to theHow to Apply UoE Employeesystem user guide
As a valued member of our team you can expect:
- A competitive salary
- An exciting positive creative challenging and rewarding place to work.
- To be part of a diverse and vibrant international community
- Comprehensive Staff Benefits such as a generous holiday entitlement competitive pension schemes staff discounts and family-friendly initiatives. Check out the full list on ourstaff benefits page(opens in a new tab) and use our reward calculator to discover the total value of your pay and benefits
Championing equality diversity and inclusion
The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions actively promoting LGBT equality.
Prior to any employment commencing with the University you will be required to evidence your right to work in the information is available on ourright to workwebpages(opens new browser tab).
The University is able to sponsor the employment of international workers in this role. If successful an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Offices English Language requirements and apply for and secure a Skilled Worker Visa.
Key dates to note
The closing date for applications is 4 August 2025.
Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.
Work with us Usher Institute- where inquiring minds work together to improve lives across the world.
Join our growing team of academics and professional services staff and work in a vibrant multi-disciplinary vision is tocatalyse the transformation of health in society by working with people populations and their data.
Our greatest asset is our people working together to improve public health using evidence-based research.
We are a key applied and translational arm of the Edinburgh Medical School within the College of Medicine and Veterinary Medicine at The University of Edinburgh. Working with partners across UK and international universities health and care providers policymakers industry and the public is central to our highly collaborative ethos.
Employment Type
Full-Time
