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You will provide statistical support to multi-disciplinary teams as part of research and consultancy projects in the Health Economic and Decision Science (HEDS) section within ScHARR. The main research focus is health technology assessment, including the synthesis of evidence from randomised controlled trials to inform the assessment of effectiveness and cost-effectiveness. The research will be for agencies such as the National Institute for Health and Care Excellence (NICE) the National Institute for Health Research (NIHR) and leading pharmaceutical companies.

You will provide expertise to identify statistical relationships and their associated uncertainties for use in decision analytic models and as part of randomized controlled trials.  Types of work will include Bayesian evidence synthesis including network meta-analysis; Bayesian analysis of randomized controlled trials and observational studies; and the elicitation of experts’ beliefs.  You will help in the identification and development of new statistical methods, publish research findings in peer-reviewed scientific journals and make presentations at conferences. 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.

This post is fixed-term for 24 months, and is available immediately.

Informal enquiries:

For informal enquiries about this job and department contact John Stevens at
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For further details, including information about how to apply, go to:

http://www.shef.ac.uk/jobs/

and search for this job using the reference number UOS008990.

Thank you

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