Research fellow (University of York UK): Microsimulation and economic evaluation of childhood policies
The Centre for Health Economics (CHE) at the University of York is seeking to appoint a Research Fellow (Grade 6) to conduct microsimulation and economic evaluation of the long-term health and wellbeing impacts of childhood policies, on a full-time open contract (part-time applications will also be considered with a minimum of 0.8 FTE).
This is an ideal opportunity for an ambitious postgraduate interested in using economics and data science to help improve human health and wellbeing and reduce inequalities.
The Research Fellow will work within the cross-departmental Equity in Health Policy (Equipol) group and the Team for Economic Evaluation and Health Technology Assessment (TEEHTA). Initially, they will support the LifeSim long-term childhood policy modelling programme, including the UK PRP ActEarly Programme and a new UKRI project on Long-Term Modelling Tools for Adolescent Health and Wellbeing Research. Over time, however, they will contribute to a range of projects in economic evaluation and data science.
Role holders will be required to undertake some or all of the duties below:
- Work closely with an experienced modeller to design and programme microsimulation models
- Use microsimulation models to conduct economic evaluation of childhood interventions
- Conduct individual and collaborative research projects, including analysis and interpretation of research data; use of appropriate research techniques and methods; writing up of research results and dissemination activities.
- Undertake methodological research in health economics and develop research ideas in alignment with CHE’s research strategy.
- Contribute to the delivery of CHE’s short courses as required.
- Initiate and develop collaborative working and foster internal/external networks.
Skills, Experience, Knowledge & Qualifications needed
- Master’s level qualification in economics or other quantitative subject (e.g. computing, data science, physics, statistics).
- Evidence of strong quantitative skills in statistics and computer programming.
- Interest in and enthusiasm for research on childhood policy, health inequalities and economic evaluation.
- Strong communication skills, both oral and written.
- Experience of carrying out independent and collaborative research.