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:
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Designing and implementing health economics and econometrics analyses across multiple research projects
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Developing and applying econometric methods and decision-analytic models using large-scale datasets
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Programming and testing models using R and other relevant software to support research outputs
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Collaborating with clinicians, researchers, and stakeholders including policymakers and patients
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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:
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A good quantitative first degree and a postgraduate qualification (or equivalent experience) in a relevant subject (e.g., health economics, applied mathematics)
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Knowledge of econometric methods and their application to routine healthcare data
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Experience or understanding of decision-analytic modelling and/or economic evaluation of healthcare interventions
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Proficiency in at least one relevant software (e.g., R, Stata, Python, MATLAB)
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Strong communication, organisational and teamwork skills, with the ability to manage workload independently
Desirable Criteria:
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Experience analysing cost and health outcome data in healthcare
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Experience applying econometric methods to evaluate healthcare interventions
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Experience using decision-analytic modelling approaches in applied research
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Experience conducting systematic literature reviews
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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: [email protected]
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
[email protected]
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.
