At a Glance
- Tasks: Conduct health economic analyses and contribute to decision modelling for healthcare interventions.
- Company: Join the University of Sheffield, a diverse and world-class institution.
- Benefits: 41 days annual leave, flexible working, generous pension, and retail discounts.
- Other info: Opportunities for personal development and a commitment to diversity and inclusion.
- Why this job: Make a real impact in health economics while collaborating with a multidisciplinary team.
- 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.
Research Associate in Decision Modelling in Sheffield employer: The University of Sheffield
The University of Sheffield is an exceptional employer, offering a vibrant work culture that prioritises diversity and inclusion. With a strong commitment to employee development, generous benefits including extensive annual leave, flexible working arrangements, and a supportive environment for personal growth, the university fosters a sense of belonging and purpose among its staff. Join us in making a meaningful impact in health economic modelling while enjoying a rewarding career in a world-class institution.
Contact Detail:
The University of Sheffield Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate in Decision Modelling in Sheffield
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the University of Sheffield on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the SCHARR‑TAG team.
✨Tip Number 2
Prepare for the interview by brushing up on your decision modelling knowledge. Be ready to discuss specific examples of your work in health economic analyses and how you’ve contributed to multidisciplinary teams.
✨Tip Number 3
Showcase your communication skills! Practice explaining complex concepts in simple terms, as you'll need to convey research findings to both expert and non-expert audiences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details about the role and benefits right there.
We think you need these skills to ace Research Associate in Decision Modelling in Sheffield
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 of Research Associate in Decision Modelling. 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 economic modelling and decision-making. Share any relevant projects or experiences that demonstrate your enthusiasm and commitment to this 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, especially when discussing complex topics.
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 The University of Sheffield
✨Know Your Numbers
As a Research Associate in Decision Modelling, you'll need to demonstrate your strong numerical skills. Brush up on your knowledge of health economic modelling and cost-effectiveness analyses. Be prepared to discuss specific examples from your past experience where you've successfully applied these skills.
✨Communicate Clearly
You'll be conveying complex results to both expert and non-expert audiences. Practice explaining your research in simple terms. Consider preparing a brief presentation or summary that showcases your ability to communicate effectively, as this will be crucial in your role.
✨Showcase Teamwork
This position involves working in multidisciplinary teams, so highlight your collaborative experiences. Think of examples where you’ve worked with diverse groups, especially in academic or healthcare settings. Be ready to discuss how you contributed to team success and navigated challenges.
✨Prepare for Ethical Discussions
The University values ethical decision-making and sustainability. Familiarise yourself with their sustainability strategy and think about how your work can align with these principles. Be prepared to discuss how you would approach ethical dilemmas in your research.
