At a Glance
- Tasks: Join a global initiative to analyse data from wearable sensors for maternal and foetal health.
- Company: The University of Edinburgh, a world-class institution with a vibrant research community.
- Benefits: Competitive salary, flexible work options, and comprehensive staff benefits.
- Other info: Collaborate with international partners in a dynamic and supportive environment.
- Why this job: Make a real impact on maternal and neonatal outcomes using cutting-edge technology.
- Qualifications: Degree in a scientific field and experience in data analysis and machine learning.
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 months
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://www.globalsurgeryunit.org/impala/) 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.
Your skills and attributes for success:
- 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.
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
How to apply
Please include the following documents in your application:
- CV
- Cover letter
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, including generous annual leave entitlement, a defined benefits pension scheme, a wide range of staff discounts, family-friendly initiatives, and flexible work options.
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.
Research Fellow (Data Analysis) in Edinburgh employer: University of Edinburgh
The University of Edinburgh is an exceptional employer, offering a vibrant work culture that prioritises equality, diversity, and inclusion. With over 400 years of history, it provides unparalleled opportunities for professional growth and development within a supportive community of more than 17,000 staff and 50,000 students. As a leading research-intensive university, it empowers its employees to drive organisational transformation and innovate in a dynamic environment, making it a truly rewarding place to work.
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