We currently have 2 post doctoral positions in the group for a molecular epidemiologist and a quantitative epidemiologist

Molecular Epidemiologist (closing date 7th Dec)

The epidemiology, economics and risk assessment group ( is seeking an enthusiastic and dynamic molecular epidemiologist to join the group as a Research Fellow.

The eera group is a dynamic research group based at the Roslin Institute at the R(D)SVS in Edinburgh. We currently have a number of research projects on major zoonotic and transboundary diseases including studying the epidemiology of bovine TB and its co-infections in Cameroon, the molecular epidemiology of foot-and-mouth disease in Cameroon, studying the disease burden of livestock in Kenya (including developing new sequence based multispecies diagnostic platforms) and projects on surveillance including simulation studies of alternative strategies for TB surveillance in Scotland and of the spread of emerging vector borne diseases in marginal environments.

You are a molecular epidemiologist with a PhD in a relevant area, an experienced molecular laboratory scientist. You will be familiar with managing and phylogenetics analyses of large epidemiological/sequence datasets (particularly BEAST and using scripted statistical software such as R and Python). You should also be able to demonstrate scientific writing ability and outputs through an appropriate level of peer-reviewed publications and be prepared to work for periods in LMICs collecting/supervising data collection. A veterinary or animal biosciences background and familiarity with livestock systems in LMICs, mathematical modeling, and use of advanced statistical techniques would be an advantage.

The job will involve working with the group leader providing molecular laboratory support (in particular developing field based sequencing approaches based around nanopore and Minion technologies), design and supervision of field work and sample collection and analysis including PCR, ELISAs and NGS where appropriate to improve our understanding of the epidemiology of major infectious diseases of livestock focused mainly on LMICs. You will have freedom to explore your own questions and direct analyses within the overall framework of the current projects. You will be expected to support the groups PhD students in their analyses and provide a small amount of undergraduate and MSc teaching. The group has several overseas projects and you will be expected to contribute to the help manage these travelling overseas (including Cameroon, Kenya and India).

You should expect to produce at least 2 first author papers plus several other papers a year. This post is ideal for someone keen to continue in academia and who wants to develop their own fellowship application.

Interested candidates should contact Dr Mark Bronsvoort ( for any further details.



Quantitative Epidemiologist (closing date 1st Dec)

This is an exciting opportunity for a quantitative epidemiologist to join a vibrant veterinary epidemiology research group ( based in the Roslin Institute, University of Edinburgh. You will work with a large, multi-disciplinary team in the EPIC consortium, which contains epidemiologists, mathematical modellers, statisticians, social scientists and economists as well as experts in livestock diseases. The current position will work on livestock disease surveillance (topic 3) in a range of areas that include analysis to add value to existing data collections; developing statistical approaches to integrate and analyse surveillance datasets; developing tools to detect changes in population characteristics and developing risk based approaches to disease surveillance. There is considerable scope to develop new strands of work within the existing framework and the post-holder will be expected to participate in the development of other projects within EPIC, as well as future projects. The successful candidate will have formal epidemiological/statistical training to PhD level (or near completion) with, ideally, relevant post doc experience. They must work well within a team, have good communication skills and be comfortable working with and presenting to both scientists and government policy makers while being able to drive their own research within the remit of the project. Experience in implementing Bayesian graphical models, or related statistical methodologies, in R or other statistical platforms, would be highly desirable. Knowledge of the Scottish and European livestock industry would be an advantage.