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Research Fellow in Health Economics

University of York - Centre for Reviews and Dissemination

Location: York
Salary: £40,322 to £49,553 a year.
Hours: Full Time
Contract Type: Permanent
Placed On: 1st April 2021
Closes: 22nd April 2021
Job Ref: 9275

Centre for Reviews and Dissemination (CRD)
CRD is a research department ( that specialises in evidence synthesis and conducts projects across a wide range of health areas to provide best evidence to inform policy and practice decisions. Our research spans health technology assessment, public health and policy and service delivery and organisation, all underpinned by a programme of methodological development.

We collaborate widely and have long-standing and successful collaborative partnerships with the Centre for Health Economics (CHE), the Department of Health Sciences, the Social Policy Research Unit (SPRU) and the Hull York Medical School (HYMS). Externally, we work with relevant groups in the UK and internationally, and have strong links with both the Cochrane and Campbell Collaborations. We host the Cochrane Common Mental Disorders Group and co-convene the Individual Participant Data Meta-analysis Methods Group and the Statistical Methods Group. Our staff come from a range of disciplinary backgrounds and includes systematic reviewers, health economists, statisticians, clinicians, information specialists and administrators, who work together on research projects, most of which are team-based. Our largest programme of work is in health technology assessment. This includes Technology Assessment Reviews (TAR) funded by the NIHR Health Technology Assessment Programme, which are undertaken in collaboration with CHE. For NICE, we carry out critical reviews of manufacturer submissions under the Single Technology Appraisal process and review, synthesis and modelling under the Multiple Technology Appraisal process and the Diagnostic Assessment Programme. Outside of TAR, we undertake systematic reviews and economic evaluations of benefits, harms and costs of a range of healthcare interventions. Methodological development underpins all of our research and we have particular interests in network meta-analysis and IPD synthesis including enhancement of statistical models, risk prediction, bias estimation and combining observational with experimental data. The use of Bayesian methods for borrowing information across different evidence sources is also an area of interest.

Research Fellow in Health Economics
The person appointed will work mainly on team-based projects commissioned under the NIHR Technology Assessment Reviews (TAR) programme, where they will lead the development and critical review of decision model components of HTA, done mostly for NICE. They will also contribute to other CRD projects, which may include undertaking decision analytic modelling, statistical analysis and evidence synthesis, including parametric survival modelling, network meta-analysis and analysis of individual participant data. They will be expected to plan and develop new research ideas and make funding applications.

Skills, Experience & Qualification needed

  • Master's-level qualification in health economics or other quantitative subject and PhD or equivalent research experience in a relevant discipline.
  • Comprehensive knowledge and understanding of health economics and cost-effectiveness analysis and significant experience of economic evaluation, including applying quantitative methods and decision analytic modelling.
  • Detailed knowledge of HTA methods and research techniques and statistical methods used in applied economic evaluation; good understanding of clinical trial methods and the principles of systematic review and meta-analysis.
  • Experience of undertaking independent high-quality health-related research, preferably including supervision of the work of others, and active participation in the planning and advancement of research.
  • Experience of publishing and disseminating research and contribution to the process of securing research funding.

Interview date: TBC

For informal enquiries: please contact Prof Sofia Dias via email at

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