We are currently advertising for a Research Associate or a Research Fellow with a 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.
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| Regent Court, the home of ScHARR |
Reference Number: UOS035218
Salary: Grade 7 / Grade 8
Details: Full-time and fixed-term for 2 years
Closing Date: Wednesday 30 November 2022
The vacancy and ATJ can be found here.
The School of Health and Related Research (ScHARR) is looking to recruit an early or mid-career 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 ‘realworld data’ (RWD) sources.
You should be familiar with methods for estimating comparative effectiveness using nonrandomised data, such as those methods detailed within NICE Technical Support Document 17: https://www.sheffield.ac.uk/sites/default/files/2022-02/TSD17-DSU-Observational-data-FINAL.pdf
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.