Senior Research Associate in Epidemiology

The role

We are looking for an enthusiastic researcher with strong quantitative skills to work across two projects related to adverse childhood experiences. The first project seeks to understand the causal mechanisms driving the impact of childhood adversity on anxiety. The second project explores the relationship between bullying and involvement in serious violence among young people.

This role would suit a researcher with a strong quantitative background (for example in epidemiology, criminology, applied statistics, psychology, or a related quantitative discipline) who is experienced in using Stata or R, and has experience of writing-up results as academic papers.  Ideally, the researcher will have experience of analysing longitudinal cohort data and/or administrative data (for example education or crime records).

The successful candidate will join Professor Laura Howe’s interdisciplinary research group in Population Health Sciences, Bristol Medical School, and will be a member of the MRC Integrative Epidemiology Unit – a leading centre for causal inference epidemiology. Professor Howe leads a group focused on making the best use of observational epidemiological data to understand the causal processes through which social factors influence health across the life course. The post-holder will also work closely with Dr Alison Teyhan and Dr Rosie Cornish, experts in the analysis of cohorts linked to administrative data. The post-holder will collaborate with colleagues from multiple UK and international institutions, and will support the meaningful involvement of people with lived experience in the research.

What will you be doing?

The successful candidate will conduct statistical analysis of data from prospective longitudinal cohort studies and linked administrative sources, and will write up results for academic and non-academic dissemination. The project presents an excellent opportunity to use state-of-the-art statistical methodologies, including methods for dealing with missing data, longitudinal data techniques, and methods for enhancing causal inference. The successful candidate will join a vibrant research team with diverse expertise, and opportunities for both formal and informal training to expand their research skills. The successful candidate will be expected to contribute to the project team as appropriate, e.g. by leading some analyses and papers as first author and contributing analysis to others as part of a team science model, by providing methodological advice and training to project partners, and by supporting patient and public involvement and engagement.

You should apply if

A PhD (or working towards) or relevant research/professional experience in epidemiology, statistics, or a related quantitative discipline is essential. We are seeking someone with advanced quantitative skills, experience of analysing large, complex epidemiological data sets, and excellent written and oral communication skills.

Additional information

Contract type: Open-ended with funding until 29/06/2027

Work pattern: Full-time/1 FTE (part-time will be considered)

Shift pattern: 35 hours per week (part-time will be considered)

This advert will close at 23:59 UK time on 02/01/2025

For informal queries please contact: Laura Howe, laura.howe@bristol.ac.uk

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