Job reference: BMH-031567
Salary: £37,694 - £46,049 per annum depending on experience
Faculty/Organisational Unit: Biology, Medicine Health
Location: Manchester
Employment type: Fixed Term
Division/Team: Division of Population Health, Health Services Research And Primary Care
Hours Per Week: Full Time (1 FTE)
Closing date (DD/MM/YYYY): 11/06/2026
Contract Duration: fixed term for 24 months
School/Directorate: School of Health Sciences

Job Description


Research Associate in Health Economics and Econometrics

We are seeking a motivated and collaborative individual to join our team as a Research Associate in Health Economics and Econometrics. This role offers an exciting opportunity to contribute to high-impact research exploring the economic evaluation of healthcare interventions and patient safety initiatives. You will work within a dynamic, multidisciplinary environment at the Manchester Centre for Health Economics, contributing to innovative projects that inform national and regional decision-making.

You will be responsible for:

  • Designing and implementing health economics and econometrics analyses across multiple research projects
  • Developing and applying econometric methods and decision-analytic models using large-scale datasets
  • Programming and testing models using R and other relevant software to support research outputs
  • Collaborating with clinicians, researchers, and stakeholders including policymakers and patients
  • Contributing to academic publications, reports, and dissemination activities including presentations and engagement events

We welcome candidates who bring diverse perspectives, experiences, and approaches to their work.

About You

We encourage applications from individuals with a wide range of backgrounds and experiences. You should demonstrate:

Essential Criteria:

  • A good quantitative first degree and a postgraduate qualification (or equivalent experience) in a relevant subject (e.g., health economics, applied mathematics)
  • Knowledge of econometric methods and their application to routine healthcare data
  • Experience or understanding of decision-analytic modelling and/or economic evaluation of healthcare interventions
  • Proficiency in at least one relevant software (e.g., R, Stata, Python, MATLAB)
  • Strong communication, organisational and teamwork skills, with the ability to manage workload independently

Desirable Criteria:

  • Experience analysing cost and health outcome data in healthcare
  • Experience applying econometric methods to evaluate healthcare interventions
  • Experience using decision-analytic modelling approaches in applied research
  • Experience conducting systematic literature reviews
  • Evidence of academic writing, such as peer-reviewed publications or reports

We value transferable skills and real-world experience as much as formal qualifications.

Our benefits include:
• Generous employer contribution pension
• 29 days annual leave plus bank holidays, along with Christmas closure
• Ride to work and EV car scheme available

For more information, please see https://www.manchester.ac.uk/connect/jobs/benefits-working-here/. You can also find information on our Flexible and Hybrid working https://www.staffnet.manchester.ac.uk/people/current-staff/flexible-and-hybrid-working/.

We are an open place of enquiry and challenge. We embrace and celebrate difference, diversity and debate, and we pride ourselves on being a place of education, learning and community. Find out more from our https://www.staffnet.manchester.ac.uk/news/display/?id=32905.

Enquiries about the role, shortlisting and interviews
Name: Professor Rachel Elliott
Email Address: rachel.a.elliott@manchester.ac.uk

Rachel Elliot (PI) would like the interview date (26/06/2026) and confirmation that interviews will be conducted face-to-face

General enquiries and administrative support
recruitmentservices.people@manchester.ac.uk

Technical and job portal support
https://jobseekersupport.jobtrain.co.uk/support/home

Applications close at midnight on the closing date.
Further particulars (with person specification) linked below.


Take a look around the company https://www.manchester.ac.uk/