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Research Associate/ Research Fellow in Statistics or Econometrics

  • heds-support 
  • Full Time
  • Sheffield

University of Sheffield

The School of Health and Related Research (ScHARR) is looking to recruit an early (G7 Research Associate) or mid-career (G8 Research Fellow) researcher with strong background in statistics and/or econometrics, preferably in the area of causal inference, with an interest in evaluating the efficacy and comparative effectiveness of care technologies/services, to join the Health Economic and Decision Science (HEDS) section.

You will mainly work in conjunction with the ScHARR Knowledge Exchange (KE) team, providing support in the development of non-randomised study designs and associated analyses for the evaluation of care technologies or services. You will also provide statistical and/or econometric support to multi-disciplinary teams as part of other HEDS research and consultancy projects. Work will include the evaluation of new care technologies or services, usually within non-randomised study designs with a focus on the efficacy and/or comparative effectiveness of the care technology. These evaluations could be supported through the use of primary data collection or reliant on existing ‘real-world data’ (RWD) sources.

Applicants should be familiar with methods for estimating comparative effectiveness using non-randomised data, such as
those methods detailed within NICE Technical Support Document 17: You will be encouraged to develop your own methodological research interests that are complementary to those within HEDS and help contribute to Masters level teaching and supervision.

You should have a postgraduate degree in statistics and/or econometrics, or other relevant discipline (or equivalent experience). A PhD (or equivalent experience) in statistics, or a relevant quantitative discipline, is essential for a Research Fellow.

Closing date for applications is Sunday 22nd January 2022 at 23:59 (UK time).

For informal enquiries about this job and department, contact: Matthew Franklin on

To apply for this job please visit


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