University of Sheffield vacancy: Research Associate in Health Economic Modelling, job ref 2275
Further information and how to apply: https://jobsite.sheffield.ac.uk/job/Research-Associate-in-Health-Economic-Modelling/2275-en_GB
Work Arrangement: Full-time, hybrid working
Contract Type: Fixed term until 30 June 2028
Salary per annum: Grade 7, £38,784 - £47,389, with potential to progress to £51,753
Closing Date: Sunday 12 April 2026
We are seeking to appoint a Research Associate in Health Economic Modelling to work within our world renowned Health Economics and Decision Science section at the University of Sheffield, initially on two research grants funded through the National Institute of Health Research (NIHR).
You will work on applied and methodological aspects of the economics strand of the research projects. The first research project focuses on interventions for older people with potential health conditions and frailty and may also include collaborations and analysis of interventions around mental health and also around children’s health. The second project focuses on a trial of an intervention to increase uptake of parent training programmes across England for older people with potential health conditions and frailty and may also include collaborations and analysis of interventions around mental health and also around children’s health. These are fascinating areas and we are collaborating with several universities across the UK who are at the leading edge of designing and evaluating these interventions. The University of Sheffield team you will join is leading the economic evaluation work packages.
You will be expected to contribute to proposals for further research funding and contribute to dissemination of research findings in peer-reviewed publications and at conferences. You will be encouraged to contribute to Masters-level teaching and supervision. You should have a postgraduate qualification (or equivalent experience) in a relevant quantitative subject e.g. economics, health economics, operational research, data science, and a PhD (or be close to completion) in a relevant subject (or equivalent experience).
Experience of undertaking health economic modelling is highly desirable, as would be experience of microsimulation modelling approaches in R software, and of undertaking literature reviews, data analysis and elicitation to obtain evidence based model parameters.
The team you will join is at the forefront of development of public health economic modelling and microsimulation. You will work with Prof Hazel Squires and Prof Tracey Young on the first programme of research and Dr Sarah Bates and Professor Alan Brennan on the second project. You will also gain understanding of several other projects with a view to developing your own programme of work.
For informal enquiries about this job contact:
Professor Alan Brennan, Professor of Health Economics & Decision Modelling on a.brennan@sheffield.ac.uk.
Professor Tracey Young, Professor of Health Economics on t.a.young@sheffield.ac.uk
Professor Hazel Squires, Professor of Health-Related Decision Modelling on h.squires@sheffield.ac.uk
What We Offer
The University of Sheffield is a remarkable place to work. Our people are at the heart of everything we do. Their diverse backgrounds, abilities and beliefs make Sheffield a world-class university.
We offer a fantastic range of benefits including a highly competitive annual leave entitlement (with the ability to purchase more), a generous pensions scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more.
Find out more at sheffield.ac.uk/jobs/benefits and join us to become part of something special.
We are committed to exploring flexible working opportunities which benefit the individual and University.
We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.
Posted on 2026-03-16 by Magdalena Sroczan