Research Fellow, Health Equity Data Analytics

City St George's, University of London; Greater London; On-site; GBP 45,000 - 60,000; Full time

Benefits offered by this job

Sector-leading salary

Pension scheme

Staff training and development

Job summary

City St George’s, University of London invites applications for a Research Fellow to investigate how technical and vocational education influences health inequalities across the lifecourse. The role involves analysing large-scale datasets and contributing to policy-relevant research within a multidisciplinary team.

You will work within the ESRC Equalise Centre, collaborating with partners, disseminating findings, and upholding research integrity; a PhD in a quantitative field and strong data

Qualifications

• PhD in epidemiology, social sciences or a quantitative discipline.
• Strong analytical skills with experience handling survey or administrative population data.
• Proficiency in STATA or R; experience with longitudinal data analysis and causal inference is desirable.

Responsibilities

• Analyse large-scale survey and administrative datasets using quantitative methods.
• Contribute to evidence synthesis and the publication of peer-reviewed research.
• Support translation of findings into policy and practice.
• Collaborate with the Equalise Centre and external partners; disseminate findings.

Skills

Analytical skills

STATA or R

Longitudinal analysis

Survey data analysis

Causal inference

Evidence synthesis

Education

PhD in epidemiology

Tools

STATA

R

Job description

City St George’s, University of London invites applications for a Research Fellow to investigate how technical and vocational education influences health inequalities across the lifecourse. The role involves analysing large-scale datasets and contributing to policy-relevant research within a multidisciplinary team.

You will work within the ESRC Equalise Centre, collaborating with partners, disseminating findings, and upholding research integrity; a PhD in a quantitative field and strong data