Research Data Scientist - CONNECT-AF
SWANSEA UNIVERSITY, Abertawe
Research Data Scientist - CONNECT-AF
Salary not available. View on company website.
SWANSEA UNIVERSITY, Abertawe
- Full time
- Permanent
- Remote working
Posted 3 weeks ago, 25 May | Get your application in now before you miss out!
Closing date: Closing date not specified
Job ref: a6fb4bace2f94eeda29113c53dde29be
Location ref: Abertawe
Full Job Description
Research Data Scientist - CONNECT-AF
CAPTION: Job details
- Posting date: 22 May 2026
- Salary: £39,355 to £45,413 per year
- Additional salary information: together with USS pension benefits
- Hours: Full time
- Closing date: 14 June 2026
- Location: Swansea, Wales
- Remote working: On-site only
- Company: Swansea University
- Job type: Contract
- Job reference: SU01573
Summary
This is an exciting opportunity to contribute to research with the potential to have a real impact on aspects of care for patients with Atrial Fibrillation, improving anticoagulation uptake and informing policy decisions on early diagnosis and preventive opportunities. The project is sophisticated in its statistical and technical approach. The successful candidate will regularly work with population-level data and build robust research ready data assets and analytical pipelines of multi-state modelling of AF data for execution across the three Trusted Research Environments (TREs) involved in this federated project. As part of the DARE-UK exemplar, you will work closely with collaborators across the UK and gain first hand experience with federated analytics.
#s1-Gen
This is an exciting opportunity to contribute to research with the potential to have a real impact on aspects of care for patients with Atrial Fibrillation, improving anticoagulation uptake and informing policy decisions on early diagnosis and preventive opportunities. The project is sophisticated in its statistical and technical approach. The successful candidate will regularly work with population-level data and build robust research ready data assets and analytical pipelines of multi-state modelling of AF data for execution across the three Trusted Research Environments (TREs) involved in this federated project. As part of the DARE-UK exemplar, you will work closely with collaborators across the UK and gain first hand experience with federated analytics.
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