Postdoctoral Research Associate in quantitative disease genetics and modelling in aquaculture

Opportunity

Salary and appointment

• The posting lists Grade UE07 with a salary range of £41,885 to £49,798; no salary cadence is stated.
• Full-time appointment at 35 hours per week, fixed term from 1 January 2027 to 31 October 2029, with potential for extension.

Skills and qualifications

• PhD or near completion in a discipline with substantial quantitative content, such as quantitative genetics, statistics, bioinformatics, theoretical biology, physics, or applied mathematics.
• Research track record in quantitative genetics and genomics, Bayesian statistics or MCMC, and mathematical modelling of disease or other dynamic biological processes.
• High-performance computing experience, including efficient code for genetic and statistical analyses and simulation studies.
• Proficient use of generative AI tools in research.
• Research outputs including peer-reviewed publications and scientific conference presentations, along with communication, organization, and time-management skills.
• Aquaculture breeding or farming knowledge is desirable.

Location and working pattern

• The role is based at the Roslin Institute, University of Edinburgh, Scotland.
• Flexible working patterns may be considered, but most work is expected to include regular on-campus attendance.

Benefits

• Benefits include annual leave, a defined-benefit pension scheme, staff discounts, family-friendly initiatives, and flexible work options.

Application

• Applications close on 23 November 2026.
• Applicants should include a CV, cover letter, and full contact details for two referees.

Responsibilities

• Build and apply computational tools to improve experimental and field study designs.
• Conduct genetic analyses of infectious disease data in farmed fish.
• Contribute to research addressing disease transmission and disease resilience in aquaculture.
• Work with an international multidisciplinary team of aquaculture, genomic, and modelling specialists from academia and industry.