At a Glance
- Tasks: Conduct health economic analyses and contribute to decision modelling for healthcare interventions.
- Company: Join the University of Sheffield's internationally-recognised Health Economics team.
- Benefits: 41 days annual leave, flexible working, and generous pension scheme.
- Other info: Opportunity for professional development and a commitment to diversity and inclusion.
- Why this job: Make a real impact in health policy while developing your skills in a supportive environment.
- 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 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.
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.
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.
Research Associate in Decision Modelling in Sheffield employer: Diversity Dashboard
The University of Sheffield is an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation within the Health Economics and Decision Science Section. With a commitment to professional development, generous benefits including a minimum of 41 days annual leave, and flexible working arrangements, employees are empowered to thrive both personally and professionally in a supportive environment dedicated to impactful health research.
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 professionals in health economics and decision modelling on LinkedIn or at conferences. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨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 team. We want to see your passion shine through!
✨Tip Number 3
Showcase your skills! Create a portfolio of your previous work, especially any health economic models or analyses you've done. This will give us a tangible sense of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at the University of Sheffield.
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 CV and cover letter to highlight your experience in health economic modelling and decision-analytic methods. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Communication Skills:Since you'll be conveying complex results to both expert and non-expert audiences, it’s crucial to demonstrate your ability to communicate effectively. Use clear language and examples in your written application to show us you can make complicated concepts accessible.
Highlight Teamwork Experience:We value collaboration, so if you've worked in multidisciplinary teams before, make sure to mention it! Share specific examples of how you contributed to team projects, as this will show us you're a great fit for our dynamic environment.
Apply Through Our Website:Don’t forget to submit your application through our official website! It’s the best way to ensure your application gets to the right place and is considered promptly. Plus, it shows us you’re keen on joining our team at the University of Sheffield!
How to prepare for a job interview at Diversity Dashboard
✨Know Your Modelling Methods
Make sure you brush up on decision-analytic modelling techniques like discrete event simulation and state transition modelling. Be ready to discuss your experience with these methods and how you've applied them in past projects.
✨Communicate Clearly
Since you'll need to convey complex results to both expert and non-expert audiences, practice explaining your research in simple terms. Prepare examples of how you've successfully communicated findings in previous roles or during presentations.
✨Showcase Your Teamwork Skills
This role involves working in multidisciplinary teams, so be prepared to share experiences where you've collaborated effectively with others. Highlight any specific projects where teamwork led to successful outcomes.
✨Prepare for Proposal Writing
As you'll contribute to research proposals, think about your past experiences in writing proposals or reports. Bring examples of your work that demonstrate your ability to design and develop compelling research proposals.
