Overview
Salary: Grade J; £43,482 - £50,253; or Grade K; £50,253 - £58,225 per annum
The role
This post offers an excellent opportunity for a Senior Research Associate or Research Fellow to join a multi-disciplinary research team of mathematical modelers, epidemiologists and health economists based in Population Health Sciences in Bristol Medical School. This post is funded by a Wellcome Trust Discovery Award focussed on improving our understanding of the global impact of structural factors (homelessness, violence, stigma, and incarceration) on the transmission of HIV among key population groups (people who inject drugs, female sex workers and men who have sex with men). The postholder will use skills in systematic reviews and meta-analyses to synthesise existing evidence on the effect of structural factors on different HIV outcomes, and will conduct statistical analyses of longitudinal datasets to better understand the effect of structural factors on HIV outcomes. There is a global focus to the work with many of the existing datasets and analyses being from lower- and middle-income countries.
The post is full-time and available until 31/03/2028 in the first instance, although it may be extended.
This is hybrid working; arrangements to be agreed, with flexibility.
Responsibilities
* Undertake systematic reviews and meta-analyses.
* Conduct detailed epidemiological analyses of longitudinal individual-level datasets, primarily using survival analysis, and potentially including methods such as mediation analysis and target trial emulation.
* Evaluate the impact of exposure to different structural factors on HIV outcomes (incidence or prevalence of infection, risk behaviours, uptake of prevention and treatment interventions) among specific population groups.
* Explore related infectious diseases (hepatitis C, sexually transmitted diseases, tuberculosis) and health outcomes (mortality, quality of life) as appropriate.
* Produce standalone journal papers, with some led by the postholder; opportunities to contribute to related mathematical modelling projects and data analyses to parameterise and calibrate models.
* Collaborate on projects focusing on other infections and population groups, including systematic reviews, epidemiological analyses, modelling and cost-effectiveness analyses.
Qualifications
* In-depth experience in systematic reviews and meta-analyses, and epidemiological analyses using advanced statistical methods, with a focus on infectious diseases (ideally HIV).
* Skills in undertaking systematic reviews and meta-analyses, and statistical analyses of longitudinal epidemiological datasets (using STATA, R or similar), possibly with causal methods.
* Strong IT and communication skills and ability to work effectively within a team including non-statisticians.
Additional information
* Contract type: Open-ended with funding until 31/03/2028
* Advert closing: 23:59 UK time on 09/04/2026
* For informal queries please contact: Jack Stone (jack.stone@bristol.ac.uk), Adam Trickey (adam.trickey@bristol.ac.uk), or Peter Vickerman (Peter.vickerman@bristol.ac.uk)
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