At a Glance
- Tasks: Conduct health economic analyses and contribute to innovative research projects.
- Company: Join the University of Sheffield, a diverse and world-class institution.
- Benefits: Enjoy 41 days annual leave, flexible working, and a generous pension scheme.
- Other info: Be part of a supportive community with excellent career development opportunities.
- Why this job: Make a real impact in healthcare decision-making with your analytical skills.
- Qualifications: Degree in a numerate subject and experience in decision-analytic modelling required.
The predicted salary is between 38784 - 47389 £ per year.
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, a generous pension scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more.
Overview: SCHARR‑TAG at 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 (HEDS) 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.
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.
You will make a full and active contribution to the principles of the ‘Sheffield Academic’. These include the achievement of excellence in applied teaching and research, and scholarly pursuits to make a genuine difference in the subject area and to the University’s achievements as a whole. As a member of staff you will be encouraged to make ethical decisions in your role, embedding the University sustainability strategy into your working activities wherever possible.
Person Specification:
- Degree in a numerate subject (Operational Research, Economics, Mathematics/Statistics).
- Postgraduate qualification (or equivalent experience) in a numerate subject (Operational Research, Economics, Mathematics/Statistics).
- Experience of decision‑analytic modelling (e.g., discrete event simulation, state transition modelling).
- Excellent knowledge of Microsoft Office software.
- Working knowledge of programming (e.g., R, VBA, WinBUGS).
- Experience of designing and undertaking health‑related research.
- Ability to communicate effectively in oral, written and presentation modes in academic and healthcare environments.
- Evidence of experience working in multidisciplinary teams.
- Respect for confidentiality.
Desirable Requirements:
- Excellent interpersonal skills.
- Flexibility in approaching tasks and problem‑solving ability.
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, working pattern to be agreed). Hybrid and flexible options will be considered.
Duration: Currently available – 31st March 2027. The end date is due to the completion of the current SCHARR‑TAG contract.
Equal Opportunities: We are a Disability Confident Employer. If you have a disability and meet the essential criteria for this job you will be invited to take part in the next stage of the selection process.
Contact: For informal enquiries about this job, contact Matt Stevenson, Professor of Health Technology Assessment and Director of SCHARR‑TAG: m.d.stevenson@sheffield.ac.uk
Application Deadline: Closing Date: 20/05/2026.
Health Economics Decision Modelling Research Associate employer: University of Sheffield
The University of Sheffield is an exceptional employer that prioritises the wellbeing and development of its staff, offering a competitive benefits package including generous annual leave, flexible working arrangements, and a strong commitment to diversity and inclusion. As part of the SCHARR Technology Assessment Group, you will work in a collaborative, multidisciplinary environment that fosters innovation and personal growth, making a meaningful impact on health policy and decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Health Economics Decision Modelling Research Associate
✨Tip Number 1
Network like a pro! Reach out to people in the health economics field, especially those connected to the University of Sheffield. Attend relevant events or webinars and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for interviews by brushing up on your decision-analytic modelling knowledge. Be ready to discuss your experience with health technology assessments and how you can contribute to the SCHARR‑TAG team. Practice explaining complex concepts in simple terms – it’ll impress both expert and non-expert audiences!
✨Tip Number 3
Showcase your teamwork skills! Since this role involves working in multidisciplinary teams, think of examples from your past experiences where you collaborated effectively. Highlight how you contributed to successful projects and how you can bring that same energy to Sheffield.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, make sure to tailor your application statement to reflect the criteria mentioned in the job description. We want to see how you fit into our diverse community!
We think you need these skills to ace Health Economics Decision Modelling Research Associate
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application to highlight how your skills and experiences align with the role. Use keywords from the job description to show that you understand what we're looking for.
Showcase Your Passion:Let us know why you're excited about health economics and decision modelling! Share any relevant projects or experiences that demonstrate your enthusiasm and commitment to the field.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your ideas flow logically and are easy to understand for both expert and non-expert audiences.
Apply Through Our Website:Don't forget to submit your application through our official website! This ensures that we receive all your details correctly and helps us process your application smoothly.
How to prepare for a job interview at University of Sheffield
✨Know Your Stuff
Make sure you brush up on health economic modelling and cost-effectiveness analyses. Familiarise yourself with decision-analytic modelling methods like discrete event simulation and state transition modelling, as these will likely come up in your interview.
✨Showcase Your Communication Skills
Prepare to explain complex concepts in simple terms. You might be asked to convey research results to both expert and non-expert audiences, so practice articulating your thoughts clearly and confidently.
✨Demonstrate Team Spirit
Since you'll be working in multidisciplinary teams, think of examples from your past experiences where you collaborated effectively. Highlight your interpersonal skills and flexibility in problem-solving during the interview.
✨Prepare for Ethical Discussions
Be ready to discuss how you would make ethical decisions in your role. The University values sustainability and ethical practices, so consider how you can align your work with these principles and be prepared to share your thoughts.
