Research Fellow in Health Economics, University of Sheffield
Job Reference Number: UOS012798
Job Title: Research Fellow
Contract Type: Fixed term for 2 years
Working Pattern: Full-time
Faculty: Faculty of Medicine, Dentistry and Health
Department: School of Health and Related Research (ScHARR)
Health Economics & Decision Science (HEDS)
Salary: Grade 8
£38,896 to £46,414 per annum, with potential to progress to £52,219
Closing Date: 29th February 2016
You will support research and consultancy programmes in the Section of Health Economics and Decision Science (HEDS).
The research will be focused on applied cost-effectiveness analysis relating to patient level data and other data sources. The work programme of HEDS involves health technology appraisal, policy appraisal, analysis of complex datasets and methodological developments. You will have the opportunity to work in any of these areas. Examples of approaches that will be used in the post include advising on the design of economic evaluations alongside clinical studies and the statistical analysis of the economic data from those studies, decision analytic modelling (e.g. spreadsheet modelling using Excel and VBA) and analysis of patient reported outcome and cost data.
You will write/contribute to research and consultancy proposals, with a particular emphasis on studies undertaken alongside randomised controlled trials and other clinical studies. You will also develop methodological work and provide research
design advice to other staff, including external NHS staff. You will disseminate findings in peer-reviewed journals and contribute to ensuring wider impact with decision makers.
You should have research experience relating to costeffectiveness analysis of patient level data, publications in peer-reviewed journals and have given presentations at
conferences. You should have your own methodological research interests that are complementary to those within HEDS.
You will also contribute to the development and delivery of Masters level teaching and supervision. You should have a Masters Degree or equivalent in a numerate subject, for example, mathematics, operational research, statistics or economics.
A PhD in a related subject is desirable.
The supporting documentation can be viewed and the on-line application
accessed via the following link: https://goo.gl/ECG7rR