This is an opportunity to become involved in the health economic evaluation of a clinical project at the cutting edge of treatment and public health development in Hepatitis C (HCV) therapy. The aim of the project is to provide proof of concept for the use of anti-HCV therapy as a prevention strategy to reduce transmission of HCV infection amongst people who inject drugs. The student will be focussed around the health economic and modelling aspects of the Eradicate C study and will develop appropriate skill sets to undertake economic evaluations of health interventions, including costings, analysis of health utility data and economic modelling. They will be based in the University of Dundee under Dr Dillon, with additional supervision from Prof Vickerman and Dr Martin at the University of Bristol and Dr Petrie at the University of Melbourne in Australia. Periods of time may be spent at the University of Bristol amongst their team of infectious disease modellers and health economists.
The student will receive a 4 year stipend and expenses for the project. Depending on previous background and experience it may be possible to intercalate an MSc in health economics within this time. The student will be primarily responsible for producing the health economic outputs and modelling work linked to the trial, with the support of their supervisors. They will receive training in the following aspects; health economics, analysing trial and other observational datasets in terms of health outcomes and costs, building simulation models for extrapolating long-term costs and health outcomes, cost-effectiveness analysis and techniques of mathematical modelling applied to disease such as Markov modelling and dynamic disease transmission modelling. The student will use these skills to perform the planned analysis for the study. Additionally the student will have the opportunity to conceive and perform analysis of their own related to the themes and aims of the project.
The post is available immediately but start date can be negotiated with a suitably qualified candidate. The candidate is required to have a 1st or a 2:1 in their first degree or a masters degree. It would be desirable that the successful candidate would have a first degree in economics/statistics/mathematics or a masters degree in health economics/statistics/mathematics and be able to demonstrate strong analytical ability.