Research Associate/ Research Fellow in Statistics - Sheffield, United Kingdom - University of Sheffield

Tom O´Connor

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Tom O´Connor

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Are you interested in working for a world top 100 University?


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.

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.


We are committed to enabling our employees to work in a hybrid model with flexibility over when, where and how to achieve the required outputs, in discussion with your manager.

We are committed to exploring flexible working opportunities which benefit the individual and University.

We're one of the best not-for-profit organisations to work for in the UK.

The University's Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.


We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect.

We believe diversity in all its forms delivers greater impact through research, teaching and student experience.

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