13616- Postdoctoral Research Associate in quantitative genomics
| Posting date: | 19 February 2026 |
|---|---|
| Salary: | £41,064 to £48,822 per year |
| Hours: | Full time |
| Closing date: | 12 March 2026 |
| Location: | Edinburgh, Scotland |
| Remote working: | On-site only |
| Company: | University of Edinburgh |
| Job type: | Temporary |
| Job reference: | 13616 |
Summary
Grade UE07: £41,064 to £48,822 per annum, pro rata if part time
The Roslin Institute / CMVM
Full time: 35 hours per week
Fixed Term: for 3 years, or until 30/06/2029
The Opportunity:
We are looking to fill a post for Postdoctoral Research Associate in quantitative genomics within the project OptiME. In this role, you will advance the state-of-the-art quantitative genetic applications in plant breeding by using Ancestral Recombination Graphs (ARGs) and associated methods based on the tree sequence software ecosystem. You will work as part of an international team of collaborators across Edinburgh, Oxford, and Ann Arbor, and other worldwide members of the tree sequence community.
This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working, all based in the UK
Your skills and attributes for success:
You are passionate about quantitative genomics and genetics.
You have experience in a high-level programming language.
You are interested in evaluating novel quantitative methods and how they could be used in practical settings.
You are independent, organised, and thrive in collaboration with multidisciplinary teams working in globally important sector.
Please inspect the call documentation regarding the essential and desirable knowledge, skills and experience needed for the post.
The Roslin Institute / CMVM
Full time: 35 hours per week
Fixed Term: for 3 years, or until 30/06/2029
The Opportunity:
We are looking to fill a post for Postdoctoral Research Associate in quantitative genomics within the project OptiME. In this role, you will advance the state-of-the-art quantitative genetic applications in plant breeding by using Ancestral Recombination Graphs (ARGs) and associated methods based on the tree sequence software ecosystem. You will work as part of an international team of collaborators across Edinburgh, Oxford, and Ann Arbor, and other worldwide members of the tree sequence community.
This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working, all based in the UK
Your skills and attributes for success:
You are passionate about quantitative genomics and genetics.
You have experience in a high-level programming language.
You are interested in evaluating novel quantitative methods and how they could be used in practical settings.
You are independent, organised, and thrive in collaboration with multidisciplinary teams working in globally important sector.
Please inspect the call documentation regarding the essential and desirable knowledge, skills and experience needed for the post.