Senior Research Associate in Mathematical Epidemiology of Infectious Diseases
Division/School Bristol Medical School
Contract type Open Ended
Working pattern Full or Part time
Salary £37,345 - £42,036 per annum (pro rata if part time)
Closing date for applications 02-May-2019
An excellent opportunity has arisen for a Senior Research Associate to join research teams 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 24 months (with the possibility of further extension) funded through various grants and will provide a good opportunity for obtaining research training or experience. The post will join two groups.
Firstly, 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 and HCV, with a specific focus on high-risk groups such as people who inject drugs in lower- and middle-income settings. As part of these projects you will be involved in the technical aspect of modelling and epidemiological analyses and will collaborate with other modellers and epidemiologists in this team.
You will also join a team led by Professor Jonathan Sterne that co-ordinates the Antiretroviral Therapy Cohort Collaboration (ART-CC), an international collaboration investigating prognosis in people living with HIV. They will contribute to data analyses, including liaising with contributing cohorts in Europe and North America, and undertaking statistical analyses. The focus of research is on prognosis of patients starting ART for treatment of HIV. Analyses will examine all-cause and specific causes of mortality, hospitalisations and cancer diagnoses in people living with HIV (PLWH). There is a particular focus on the effects of alcohol, tobacco and other substance use on the health and well-being of PLWH.
You will need a strong mathematical background with preferably 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 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 second week of May 2019
Informal enquiries by email may be made to: Peter.Vickerman@bristol.ac.uk
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