Research Fellow (Data Analysis
Listed on 2026-08-14
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Research/Development
Data Scientist, Research Scientist, Clinical Research
Location: City of Edinburgh
UE07: £41,064 - £48,822 per annum
School of Population Health Sciences / Usher Institute / Centre for Medical Informatics
Full-time: 35 hours per week
Fixed-term: available from July 2026 for 12 month s
Where discovery never stops. Be part of something bigger.
The University of Edinburgh is a world-class organisation. We are a large University covering a wide range of activities. In Professional Services, we support the University’s research and teaching, offering many career and role specialisms.
The Opportunity:The Centre for Medical Informatics at the Usher Institute within The University of Edinburgh is looking for a Research Fellow (Data Analysis).
This post offers the opportunity to work on an exciting new global collaborative initiative using wearable sensors and data driven research approaches to improve maternal and foetal outcomes during childbirth. You will join a collaborative research project entitled, ‘Intelligent Pregnancy Products Platform; I3P’ to provide near-real time analysis of continuous physiological data and clinical event data in a large scale, international, cluster-randomised trial.
You will work in a vibrant research environment collaborating with international stakeholders and industry partners to analyse the results of a trial of 13,400 women across 30 hospitals in 4 countries (India, Rwanda, Nigeria & Pakistan). The IMPALA 2 trial (https://(Use the "Apply for this Job" box below).) will use novel techniques and wearable technologies to collect continuous vital signs from both the mother and baby during.
You will develop, evaluate, and deploy generative AI methods to predict the onset of maternal and neonatal complications. This body of work has the potential to reduce maternal and foetal complications on a global scale.
- A good degree and higher degree in a scientific or numerate subject, or able to demonstrate relevant and equivalent recent experience.
- Experience in using statistical programming for data analysis and machine learning/deep learning, using python or R.
- Experience in monitoring, analysing and dissemination of complex information.
- Experience developing, evaluating, or deploying generative AI methods, particularly in applied or clinical contexts
- Ability to work well within a multi-disciplinary team, including international and industry partners.
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Informal enquiries may be directed to Dr Rosemary Townsend, Senior Research Fellow ();
Professor Ewen Harrison, Professor of Surgery & Data Science (); or Dr Catherine Shaw, Senior Lecturer & Programme Manager ()
A career with us has a range of other benefits that can be tailored to your lifestyle:
- Professional development and subject matter expertise
- Opportunities to develop new skills and broaden your experience
- Leading-edge research
- Excellent benefits and support
- Contributing to the work and purpose of the University.
- Flexible/hybrid where the roles allow
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 UK. Further information is available on our right to work webpages.
On this occasion the University will not consider applicants requiring sponsorship for this role. International workers will therefore only be able to take up this role if they can demonstrate an alternative right to work in the UK.
Key dates to note
The closing date for applications is 25 August 2026.
Unless stated otherwise, the closing time for applications is 11:59 pm (UK time). If you are applying from outside the UK, the closing time shown on our adverts will automatically adjust to your browser’s local time zone.
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