JOB: Research Associate in Statistics
School of Health and Related Research, University of Sheffield, UK
Salary: Grade 7 (£35,333 - £43,414 per annum pro-rata, with potential to
progress to £47,423 per annum)
Details: Full-time or part-time (minimum 60% FTE), and fixed-term until 31
March 2027
Closing Date: Monday 13 March 2023
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 UOS036322.
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.
For informal enquiries about this job and department, contact: Kate Ren on
[log in to unmask]
or Jean Hamilton on [log in to unmask]
--
Dr Kate (Shijie) Ren
Senior Research Fellow
Health Economics and Decision Science (HEDS)
School of Health and Related Research (ScHARR)
The University of Sheffield
Regent Court
30 Regent Street
Sheffield
S1 4DA
Tel: +44 (0) 114 222 0696
ORCID ID: http://orcid.org/0000-0003-3568-7124
http://www.sheffield.ac.uk/scharr/sections/heds
http://www.scharrheds.blogspot.co.uk/
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