Senior Research Associate in Mathematical Epidemiology of Infectious Diseases

Bristol, United Kingdom
£38,017 – £42,792-per annum (pro rata if part time)
Sunday, 12 July 2020
End of advertisement period
Sunday, 2 August 2020
Contract Type
Fixed Term

Division/School Bristol Medical School
Contract type Fixed Term Contract
Working pattern Full time
Salary £38,017 – £42,792-per annum (pro rata if part time)
Closing date for applications 02-Aug-2020

An excellent opportunity has arisen for a Senior Research Associate to join a research team based within Population Health Sciences, Bristol Medical School at the University of Bristol.

The post is available on a full-time basis (although part-time will be considered) for at least 12 months (with the possibility of further extension) funded through various grants and will provide a good opportunity for obtaining research training or experience.

You will join a collaborative team of mathematical modellers, epidemiologists, and health economists interested in the transmission dynamics of blood borne viruses, sexually transmitted infections (STIs), and other infections. Within this group, led by Professor Peter Vickerman, the post will undertake mathematical modelling and epidemiological analyses focussed on prevention and treatment needs for tackling the global epidemic of HIV, HBV and HCV, with a specific focus on high-risk groups such as people who inject drugs in lower, middle and high income settings. Specific settings of interest include Myanmar, Pakistan, Europe, sub-Saharan Africa and the USA. As part of these projects you will be involved in the technical aspect of modelling, epidemiological analyses and possibly economic evaluations, and will collaborate with other modellers, health economists and epidemiologists in this team.

You will need a strong mathematical background with a PhD degree in a relevant quantitative subject. We are looking for an applicant with experience in infectious disease mathematical modelling and statistical analysis. You must have experience of developing and programming dynamical models, the ability to design and analyse large scale modelling experiments involving data and uncertainty. Skills in reviewing the non-modelling literature and undertaking data analyses (using STATA, R or similar packages). You will have strong IT and communication skills and work effectively within a team environment that includes non-mathematicians. It is desirable that you will have an interest in the health issues of others. 

Interviews expected in early to mid August 2020.

For informal queries please contact and

We welcome applications from all members of our community and are particularly encouraging those from diverse groups, such as members of the LGBT+ and BAME communities, to join us.

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