Postdoctoral Research Associate in Public Health Data Analysis (3 Posts)

This is an exciting opportunity to join thriving research group, internationally recognised for excellence in applied public health research, with a shared concern for health equity being a defining ethos.  You will be part of the Health Inequalities Policy Research (HIPR) Group, in the Department of Public Health, Policy and Systems at the University of Liverpool. The HIPR vision is to improve health and reduce inequalities through the study of the determinants of health and wellbeing and the policies that impact them.

We are looking for enthusiastic population health data scientists / epidemiologists / statisticians / economists committed to utilising data to address health inequalities. These posts will support four projects:

1. Tackling child health inequality: and interventional epidemiology platform to inform policy,
2. Intelligence for public health action to improve outcomes and address inequalities in children and young people’s health,
3. Networked Data Lab,
4. The health of care experienced people.

You will have a PhD in a relevant area (e.g. epidemiology, economics, geography, public health, psychology, data science, applied statistics), with an excellent working knowledge of research methods in epidemiology and statistics, including experience in three or more of the following: managing large datasets; data linkage; quantitative analysis of large observational datasets; longitudinal or panel data analysis methods; causal methods/ mediation analysis; econometrics. You will be enthusiastic and committed to working in a field of health inequalities research, have excellent communication and interpersonal skills, with the ability to engage sensitively with members of the public and to work effectively with a wide range of partners, including academics, local authorities, NHS organisations and community groups.

Each post is available for 2 years in the first instance, with the possibility of further extension.

Although the university has a hybrid working system, the expectation is that the successful applicant appointed to this role will be expected to work more than 50% on campus.

For full details and to apply online, please click the 'Apply' button, above.

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