We are currently advertising for two Research Assistants to join the Health Economics and Decision Science (HEDS) Section to provide support on a range of applied policy and methodological research.
ScHARR, Regent Court |
You will work within the Health Economics and Decision Science (HEDS) Section (www.shef.ac.uk/scharr/sections/heds) as part of a multidisciplinary team providing support to health economics/decision modelling research staff on a range of applied policy and methodological research with a particular focus on cost-effectiveness of healthcare and public health interventions.
The work will involve contribution and support to a range of projects funded by
research grants and knowledge exchange consultancy. The projects involve designing and
undertaking health economic, statistical, and epidemiological modelling based analyses for policy
appraisal. The work is for a wide range of decision makers. The funders/customers include the
Department of Health and Social Care and related agencies, major UK research councils such as
NIHR. Local NHS and government organisations and commercial organisations.
Analysis of complex datasets and design of health economic models are key activities, as is
methodological development to support cost-effectiveness analysis. Approaches used within the
projects include decision analytic modelling (e.g. Markov and discrete event simulations),
optimisation techniques, and econometrics and multivariate statistical analyses.
You will provide
support to senior health economists and modellers, contribute to the design of evaluations,
undertake supervised analyses and contribute to peer-reviewed reports, journals and conference
presentations. The successful applicant will also contribute to writing research and consultancy
tenders. You will also contribute to the Section’s teaching responsibilities by delivering tutorials.
A graduate qualification in a numerate subject (e.g. statistics, economics, operational research,
mathematics, or quantitative applied sciences or social sciences) is essential and a post-graduate
qualification or equivalent experience is desirable.