12591 - Post-Doctoral Research Associate in Health Data Science
| Posting date: | 09 June 2025 |
|---|---|
| Salary: | £40,497 to £48,149 per year, pro rata |
| Hours: | Full time |
| Closing date: | 07 July 2025 |
| Location: | Edinburgh, Scotland |
| Remote working: | On-site only |
| Company: | University of Edinburgh |
| Job type: | Contract |
| Job reference: | 12591 |
Summary
Grade UE07: £40,497 to £48,149 per annum, pro-rata if part time
CMVM/Centre for Genetics and Experimental Medicine/Institute of Genetics and Cancer
Full-time: 35 hours per week
Fixed-term: 12 months
The Opportunity:
We are seeking a Postdoctoral Research Associate in Health Data Science to join our team in the Institute of Genetics and Cancer. In this role, you will develop and apply cutting-edge data science methodologies to complex biomedical data, focusing on patients with inflammatory bowel disease (IBD). You will work closely with our clinical and translational teams to develop predictive tools that can be implemented directly in clinical settings. This is a fixed-term position for 12 months, with the possibility of extension.
This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns.
Your skills and attributes for success:
A PhD in statistics, machine learning, or a related field, or equivalent professional experience.
Proficiency in R programming.
Experience in managing and analysing research data.
Ability to work independently and as part of a team.
Strong communication skills, both oral and written.
CMVM/Centre for Genetics and Experimental Medicine/Institute of Genetics and Cancer
Full-time: 35 hours per week
Fixed-term: 12 months
The Opportunity:
We are seeking a Postdoctoral Research Associate in Health Data Science to join our team in the Institute of Genetics and Cancer. In this role, you will develop and apply cutting-edge data science methodologies to complex biomedical data, focusing on patients with inflammatory bowel disease (IBD). You will work closely with our clinical and translational teams to develop predictive tools that can be implemented directly in clinical settings. This is a fixed-term position for 12 months, with the possibility of extension.
This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns.
Your skills and attributes for success:
A PhD in statistics, machine learning, or a related field, or equivalent professional experience.
Proficiency in R programming.
Experience in managing and analysing research data.
Ability to work independently and as part of a team.
Strong communication skills, both oral and written.