Research Fellow (Data Analysis)

The University of Edinburgh; Easter Howgate; On-site; GBP 41,000 - 49,000; Full time

Benefits offered by this job

Flexible/hybrid where allowed

Competitive salary

Staff benefits

Job summary

The University of Edinburgh invites applications for a Research Fellow (Data Analysis) in the Centre for Medical Informatics at the Usher Institute. The role supports a global collaborative study using wearable sensors to improve maternal and foetal outcomes during childbirth, analysing real-time physiologic and clinical data from a 13,400-participant trial across 4 countries.

You will develop and apply generative AI methods to predict obstetric complications, work with international partners,

Qualifications

• Experience in statistical programming for data analysis.
• Experience in machine learning/deep learning using Python or R.
• Experience monitoring, analysing and disseminating complex information.
• Experience developing, evaluating or deploying generative AI methods in applied or clinical contexts.
• Ability to work in a multi-disciplinary, international, industry-partner environment.

Skills

Statistical programming

Python or R

Data analysis

Generative AI methods

Team collaboration

Education

Bachelor's or higher in scientific/numerate subject

Job description

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

Informal enquiries may be directed to Dr Rosemary Townsend, Senior Research Fellow ([e-mail]); Professor Ewen Harrison, Professor of Surgery & Data Science ([e-mail]); or Dr Catherine Shaw, Senior Lecturer & Programme Manager ([e-mail])

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. Check out the full list on our staff benefits page and use our reward calculator to discover the 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 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.