Associate Professor / Senior Research Fellow – Health Economics

University Of Leeds (Medicine); Leeds; On-site; GBP 80,000 - 100,000; Full time

Job summary

A prestigious university in the UK is seeking an experienced Senior Research Fellow in Evidence Synthesis and Decision Modelling. The role involves leading economic evaluations of healthcare technologies and supporting health economics research. Candidates should have extensive experience in evidence synthesis and decision modelling techniques to impact health care decision making. This position offers generous holiday, pension schemes, health and wellbeing benefits, and access to professional development courses.

Benefits

26 days holiday

Generous pension scheme

Discounted gym membership

Access to childcare

Professional development courses

Qualifications

• Proven experience in leading applied research using evidence synthesis techniques.
• Experience with decision modelling techniques for health technology assessment.
• Ability to impact healthcare decision making and policy.

Responsibilities

• Lead on economic evaluations of healthcare technologies.
• Conduct health technology assessments using decision modelling techniques.
• Drive the use of evidence synthesis in healthcare-related research.

Skills

Evidence synthesis techniques

Decision modelling techniques

Healthcare technology assessment (HTA)

Research leadership

Job description

Senior Research Fellow (Grade 8) or Associate Professor (Grade 9) in Evidence Synthesis and Decision Modelling

Faculty of Medicine and Health, School of Medicine, Leeds Institute of Health Sciences, Academic Unit of Health Economics

Do you want to use your evidence synthesis and decision modelling skills to have an impact on health care decision making and policy?

An opportunity has arisen to appoint an experienced researcher to lead on economic evaluations of healthcare technologies. This post is part of the University’s long term commitment to international excellence in applied and methodological health economics research and to the on-going support of health economics expertise and capability. We are looking for an individual with proven experience in leading applied research using evidence synthesis techniques (including indirect treatment comparisons, matching-adjusted indirect comparisons and network meta-analyses) and decision modelling techniques (decision tree, partitioned survival and Markov models) for health technology assessment (HTA).

What we offer in return

• 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
• Generous pension scheme plus life assurance – the University contributes 14.5% of salary
• Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
• Personal Development: Access to courses run by our Organisational Development & Professional Learning team, and self-development courses including languages, Creative Writing, Wellbeing Therapies and much more.
• Access to on-site childcare, shopping discounts and travel schemes are also available.
• And much more!

If you are looking for a role that will provide you with a firm foundation to advance your career in applied health research apply today.

Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa

For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent

To explore the post further or for any queries you may have, please contact:

Professor David Meads

Email: [e-mail]