The post holder will be based at the Department of Applied Health Research, which focuses on interventions, programmes and pathways that are most likely to have substantial impact in terms of health outcomes and reduction of health inequalities.
The Research Fellow in Health Economics will be responsible for leading and contributing to econometric analysis of observational studies. Key purpose of the post includes:
- To investigate the social determinants of health care utilization at the end of life in order to inform health policies with a particular focus on national upscaling. The post holder will take the lead on the design and analysis of large observational datasets, linking data across primary, secondary and social care sectors
- To examine the costs and effects of new digital health interventions, an area of increasing importance within health economics, to help managing long-term effects of COVID-19 patients. This will involve undertaking a quasi-experimental study design, and applying a combination of microeconometric techniques and economic evaluation methods.
- To lead methodological developments in health economic analysis of routinely-collected data. The post holder will be encouraged to explore methodological issues in the design and analysis of health economic studies using large observational datasets (clinical, epidemiological and administrative) for informing policy making
Duration of the post is funded until 28 February 2023 in the first instance.
The Research Fellow in Health Economics should have a PhD in Health Economics, Medical Statistics or related areas, or equivalent research experience. They should have experience in:
- applying econometric or statistical methods in observational studies
- Analysing large observational datasets
- in-depth knowledge of a wide variety of research designs and methods for conducting health economic studies
- Experience with R software
- writing health economic analysis plans, final reports and peer reviewed publications.
Informal enquiries should be made to: Dr Manuel Gomes (firstname.lastname@example.org). If you have any queries regarding the application process please contact: Stephanie Hume (020 3108 3256, email@example.com).