Research Associate 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 career researcher with strong background in statistics/mathematics and an interest in Bayesian statistics and health technology assessment to join the Health Economic and Decision Science (HEDS) section.


You will mainly work on ScHARR-Technology Assessment Group (ScHARR-TAG) projects, where the work will include the critical appraisal of the statistical methods used in pharmaceutical company submissions to the National Institute for Health and Care Excellence (NICE) for reimbursement of new interventions.

You will also provide statistical support to multi-disciplinary teams as part of other HEDS research and consultancy projects. Work will include survival extrapolation and evidence synthesis including network meta-analysis and indirect treatment comparisons.

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.


Educated to PhD level (or equivalent experience) in statistics, or a relevant quantitative discipline, you will have an understanding of clinical trials and of meta-analysis and you will possess advanced skills in the use of the R statistical software.


Experience of undertaking evidence synthesis including network meta-analysis and experience of using health economic modelling/health technology assessment methods is desirable, as is experience undertaking Bayesian statistical analyses using appropriate computational software, e.g., Stan, JAGS, OpenBUGS, WinBUGS.

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

We are 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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