Overview
The University of Sheffield has an exciting opportunity for someone with a passion for health economic modelling and cost-effectiveness analyses educated to at least degree level. We are seeking highly numerate candidates with experience of health technology assessment to join our internationally‑recognised team.
The successful applicant will work within the Health Economics and Decision Science Section as part of a multidisciplinary team supporting and undertaking decision modelling in applied policy and methods research, focussing on the cost‑effectiveness of healthcare interventions. They will contribute to and support projects funded by research grants and consultancy, designing and undertaking health economic, statistical, and epidemiological modelling‑based analyses for policy appraisal. Design and validation of health economic models are key activities. The applicant will support senior modellers, contribute to the design of evaluations, undertake analyses, contribute to peer‑reviewed reports, journal articles and conference presentations, and help write proposals.
Main duties and responsibilities
* Perform health economic analyses for the evaluation of health technologies using decision modelling methods
* Convey the results of research clearly, in written and oral formats, to both expert and non‑expert audiences
* Make substantial contributions to the design, development and writing of research proposals for applied economic evaluations
* Contribute research expertise, as required, to other ScHARR research and consultancy projects
* Work in multi‑disciplinary teams
* Liaise closely with a range of staff in the academic, NHS and private sectors, including clinicians, research staff and technicians
* Make a full and active contribution to the principles of the University of Sheffield, including excellence in applied teaching and research
* Encourage ethical decisions in your role, embedding the sustainability strategy into your work where possible
* Plan for the research contribution up to one month ahead
* Prioritise own workload on research and academic development
* Carry out other duties commensurate with the grade and remit of the post
Qualifications
* Essential: Degree in a numerate subject such as Operational Research, Economics, Mathematics or Statistics
* Essential: Postgraduate qualification (or equivalent experience) in a numerate subject such as Operational Research, Economics, Mathematics or Statistics
* Essential: Experience of decision‑analytic modelling (e.g. discrete event simulation, state transition modelling)
* Essential: Excellent knowledge of Microsoft Office software
* Essential: Working knowledge of programming (e.g. R, VBA, WinBUGS)
* Essential: Excellent interpersonal skills
* Essential: Ability to communicate effectively in oral, written and presentation modes in academic and healthcare environments
* Essential: Flexibility in approaching tasks and problem‑solving ability
* Essential: Respect for confidentiality
* Desirable: Experience of designing and undertaking health‑related research
* Desirable: Evidence of experience working in multidisciplinary teams
Benefits
* Minimum of 41 days annual leave (including bank holidays), with the ability to purchase more
* Flexibility to work remotely (hybrid) and other flexible working arrangements
* Generous pension scheme
* Wide range of discounts and rewards on shopping, eating out and travel
* Staff networks and support for diversity and inclusion
* Recognition awards for outstanding performance
* Commitment to professional development with access to learning and mentoring schemes
* Family‑friendly policies, including paid time off for parenting and caring emergencies and support for maternity and fertility treatment
Further Information
Grade: 7.
Salary: In the range £38,784 to £47,389 per annum pro‑rata.
Work arrangement: Full time or part‑time (minimum commitment 70% full‑time equivalent); hybrid and flexible options will be considered.
Duration: Currently available until 31 March 2027. The end date is due to the completion of the current contract; renewal for a further five years will be decided in May 2026.
Line manager: Professor / Senior Research Fellow.
Direct reports: N/A.
Our website: https://sheffield.ac.uk/scharr/research/scharr-tag.
Informal enquiries: Matt Stevenson, Professor of Health Technology Assessment and Director of SCHARR‑TAG: m.d.stevenson@sheffield.ac.uk.
Recruitment Process
The selection process will take place in May 2026 and may include an interview and an aptitude test.
Support and adjustments for the recruitment process are available on contact a.shippam@sheffield.ac.uk.
Closing Date
20/05/2026.
Equality Statement
We are a Disability Confident Employer. If you have a disability and meet the essential criteria for this role you will be invited to take part in the next stage of the selection process.
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