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Research Fellow

Centre for Health Economics
Based at
University of York - Heslington Campus
Hours of work
Contract status
Fixed term
32,817 - 36,914 a year
Interview Date
6 October 2020
Posted Date
Apply by
Job Reference

Role Description


In recent years, the Centre for Health Economics (CHE) has significantly progressed its activities in global health economics, expanding our existing research strengths in this field by developing a portfolio of high quality methodological and applied research of national and international policy relevance. An important strand of Global Health Economics research at CHE is about policy impact evaluation using quasi-experimental research methods, with an increasing focus on the use of machine learning. We are seeking to appoint a Grade 6 Research Fellow to contribute to this research agenda, with a strong background in quantitative methods, such as econometrics, statistics and machine learning, and an interest in developing and applying those methods for the purpose of health policy impact evaluation.

The Research Fellow will be part of a new, methodologically focussed research project, led by Dr Noemi Kreif. The research project includes co-investigators and advisors from the Department of Economics at York, as well as the University of Indonesia, University of Sao Paolo, Harvard University and the University of Washington, among others. The researcher will have training opportunities to further develop analytical skills in causal inference and machine learning, by attending relevant summer schools and workshops.


  • To develop methods to design optimal health policy allocation rules, combining state-of-the-art approaches from causal inference and machine learning.
  • To extend causal inference and machine learning methods to fit the requirements of health policy evaluation, e.g. to consider health equity impacts when estimating optimal health policies. The methods will be applied primarily in the context of two on-going policy evaluations: the National Health Insurance Programme in Indonesia, and the Family Health Programme in Brazil, using large survey and administrative data sets.
  • To conduct individual and collaborative research projects, which would include: analysis and interpretation of research data; use of appropriate research techniques and methods; writing up of research results and dissemination through publications, seminar and conference presentations, public engagement and outreach activities; contributing to the identification of possible new areas of research.

Skills, Experience & Qualification needed

Applicants are required to have the following qualifications:

  • BSc and/or MSc or equivalent in economics, health economics, statistics, mathematics or another related subject and a PhD or equivalent experience in a relevant quantitative field.
  • The post requires a knowledge of causal inference and machine learning methods, and experience in methodologically focussed research using statistical/econometrics methods.
  • Advanced skills in the use of R statistical software are essential, familiarity with Stata statistical software and Python programming language is desirable.
  • The ability to write up research work for publication in high profile journals, and good communication skills to engage with a wide-ranging audience is essential.
  • Experience in methodologically focussed research using statistical/econometrics methods is required.

Interview date: 6 October 2020

For informal enquiries: please contact or


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