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University of Edinburgh

Postdoctoral Research Associate in Disease Transmission Genetics and Modelling University of Edinburgh in United Kingdom

Degree Level

Postdoc

Field of study

Computer Science

Funding

This is a fixed-term, full-time 24-month postdoctoral research position, with the possibility of a longer contract until 31 May 2029 if undertaken part-time at 80%. The salary is £41,064–£48,822 per annum, UE07. The position is funded by a prestigious research grant and includes University of Edinburgh staff benefits, including annual leave, a defined-benefits pension scheme, staff discounts, family-friendly initiatives and flexible work options.

Deadline

Nov 16, 2026

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Country

United Kingdom

University

University of Edinburgh

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Keywords

Computer Science
Evolutionary Biology
Biology
Mathematics
Mathematical Modeling
Veterinary Science
Infectious Disease
Bayesian Statistics
Quantitative Genetics
High Performance Computing
Immunity
Genomic
Drosophila Melanogaster
Disease Transmission
Statistics
Bioinformatic

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About this position

The University of Edinburgh’s Roslin Institute is recruiting a postdoctoral researcher in disease transmission genetics and modelling. Based at the Easter Bush Campus in Scotland, the project sits within Quantitative Biology and is funded by a prestigious research grant on the genetic and immune determinants, and evolutionary constraints, underlying individual variation in host infectiousness.

The researcher will use Drosophila melanogaster as a model system to study infection, immunity and behaviour. The work will combine quantitative genetics, genomics and disease epidemiology to disentangle the biological factors that influence pathogen transmission and to generate predictive insights relevant to more effective disease control.

A major component of the project is the development and application of advanced analytical and computational approaches. The researcher will work with genetic-epidemiological inference and prediction models, Bayesian methods, generalized linear mixed models, mathematical modelling and simulation. High-performance computing and efficient coding will support the analysis of genetic and statistical datasets and dynamic biological processes.

The successful candidate will be primarily supervised by Professor Andrea Doeschl-Wilson at the Roslin Institute. The role also involves extensive interaction with Dr Pedro Vale’s group in the University of Edinburgh’s School of Biological Sciences and Dr Chris Pooley at Biomathematics & Statistics Scotland. This provides a multidisciplinary research environment spanning animal bioscience, evolutionary biology, genetics, immunology, epidemiology, statistics and computational modelling.

The Roslin Institute is part of the Royal (Dick) School of Veterinary Studies and hosts a large international community of researchers, students and visitors. Its research divisions cover quantitative biology, genome biology, functional genetics, translational bioscience, bacteriology, virology, immunology and epidemiology, with substantial infrastructure and partnerships supporting impactful animal-health and agricultural research.

Funding details

This is a fixed-term, full-time 24-month postdoctoral research position, with the possibility of a longer contract until 31 May 2029 if undertaken part-time at 80%. The salary is £41,064–£48,822 per annum, UE07. The position is funded by a prestigious research grant and includes University of Edinburgh staff benefits, including annual leave, a defined-benefits pension scheme, staff discounts, family-friendly initiatives and flexible work options.

What's required

Applicants should have a PhD or be within three months of completing a PhD in a discipline with a substantial quantitative component, such as quantitative genetics, statistics, bioinformatics, theoretical biology, physics or applied mathematics. Candidates should have a proven research track record in quantitative genetics and genomics, generalized linear mixed models, Bayesian statistics or MCMC, and mathematical modelling of disease or other dynamic biological processes. Experience with high-performance computing, efficient computational code for genetic and statistical data analysis, and simulation studies is required. Excellent written and verbal communication skills, demonstrated through peer-reviewed publications and conference presentations, as well as strong organization, time management, independent working and teamwork skills, are required. Knowledge of Drosophila or other model-species genetics is desirable. The advert states that applicants need not meet every criterion and that training and support will be provided for new skills.

How to apply

Apply through the University of Edinburgh careers portal using the Apply Now link. Submit a CV, cover letter and full contact details for two referees. Informal enquiries may be sent to Professor Andrea Doeschl-Wilson at [email protected].

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