13487- Postdoctoral Data Analyst
| Dyddiad hysbysebu: | 08 Rhagfyr 2025 |
|---|---|
| Cyflog: | £41,064 i £48,822 bob blwyddyn |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 05 Ionawr 2026 |
| Lleoliad: | Edinburgh, Scotland |
| Gweithio o bell: | Hybrid - gweithio o bell hyd at 3 ddiwrnod yr wythnos |
| Cwmni: | University of Edinburgh |
| Math o swydd: | Dros dro |
| Cyfeirnod swydd: | 13487 |
Crynodeb
Grade UE07 - £41 604 – £48,822 per annum
College of Medicine and Veterinary Medicine / School of Population Health Sciences / Usher Institute
Full time (35hrs per week)
Fixed Term: available from January 2026 to 31st December 2030
The Opportunity:
The Centre for Medical Informatics at the Usher Institute within The University of Edinburgh is looking for a postdoctoral data analyst who will use Scottish data infrastructure of linked electronic healthcare records to investigate short term and long term outcomes on infants from respiratory syncytial virus (RSV) maternal vaccine
The post holder will be working with large amounts of highly complex confidential electronic health data to develop and implement data driven approaches to the above study aims.
We will also 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.
*can be increased depending on business requirements / role.
Informal enquiries may be directed to Dr Ting Shi, Senior Lecturer (ting.shi@ed.ac.uk)
Your skills and attributes for success:
• Data linkage
• Electronic health records
• Infectious disease epidemiology
• Respiratory syncytial virus vaccine
College of Medicine and Veterinary Medicine / School of Population Health Sciences / Usher Institute
Full time (35hrs per week)
Fixed Term: available from January 2026 to 31st December 2030
The Opportunity:
The Centre for Medical Informatics at the Usher Institute within The University of Edinburgh is looking for a postdoctoral data analyst who will use Scottish data infrastructure of linked electronic healthcare records to investigate short term and long term outcomes on infants from respiratory syncytial virus (RSV) maternal vaccine
The post holder will be working with large amounts of highly complex confidential electronic health data to develop and implement data driven approaches to the above study aims.
We will also 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.
*can be increased depending on business requirements / role.
Informal enquiries may be directed to Dr Ting Shi, Senior Lecturer (ting.shi@ed.ac.uk)
Your skills and attributes for success:
• Data linkage
• Electronic health records
• Infectious disease epidemiology
• Respiratory syncytial virus vaccine