Research Associate in Health Economics (167857)
Botnar NDORMS Research support
Contact person: Naheda Ali
Grade: 7: £36,024 - £44,263
Closing date: 2 October 2023
Contribute to the design, analysis, and presentation of results of highly collaborative research projects in the research group led by Associate Professor Rafael Pinedo-Villanueva. You will manage your own academic research which will involve small and medium scale project management and co-ordinating multiple aspects of work.
We are seeking to appoint a highly qualified and dedicated Research Associate in Health Economics to join the research group led by Associate Professor Rafael Pinedo-Villanueva at the Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), Oxford.
As a Research Associate in Health Economics, you will contribute to the design, analysis, and presentation of results of highly collaborative research projects. Analyses will be mainly based on large observational datasets such as the Clinical Practice Research Datalink (CPRD) and Hospital Episode Statistics (HES), commonly on their mapped versions to common data models as we get progressively more involved in international federated analyses. You will also be involved in analysis using data from smaller cohorts and randomised clinical trials. You will be responsible for; managing your own academic research which will involve small and medium scale project management, co-ordinating multiple aspects of work and meeting deadlines. You will also take a leading role in preparing academic manuscripts for publication in peer-reviewed journals, contribute ideas for new research projects and develop proposals for generating research income.
You must hold a PhD (or be close to completing one) in health economics or other closely related subjects, or alternatively an MSc in Health Economics together with extensive relevant experience in applied health economics research. You must have experience conducting decision-analytic modelling-strong statistical/econometric skills-experience working with large, routinely-collected datasets, and proficiency in R or equivalent statistical software packages.
This is a full-time fixed-term appointment for 2 years in first instance.
The closing date for this position 2 October 2023 You will be required to upload a CV and supporting statement as part of your online application.