Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.
Skip to main content
Combined Logo



Nuffield Department of Population Health, Old Campus Road, Headington, Oxford, OX3 7LF

Closing Date: 12:00 noon (GMT) on friday 29 november 2019

Grade 7: £32,817 - £40,322 p.a. (pro rata for part-time)

Location: Oxford
Salary: Grade 7: £32,817 - £40,322 p.a. (pro-rata for part-time)
Hours: Full-time (part-time considered)
Contact Phone: 01865 743631
Contact Email:
Vacancy ID: 141413

The Nuffield Department of Population Health contains world renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. Based within NDPH, the Health Economics Research Centre (HERC) is a thriving group of health economists/analysts, with a varied research programme and a well-established reputation as a centre of excellence.

We are looking for an experienced and enthusiastic candidate to work on applied economic analyses aimed at analysing anxiety in childhood, using a variety of statistical/econometrics approaches. The key responsibilities will include reviewing and summarising literature, analysing UK complex longitudinal birth cohort studies (e.g. MCS, ALSPAC), interpreting results, contributing to publications and presentations. The successful candidate will be supported to consolidate and further develop their research and analytic skills.

To be considered for this post you will have a postgraduate qualification in a relevant discipline (e.g. health economics/economics, statistics, epidemiology or other quantitative discipline), research experience in health economics and good programming and data analysis skills (e.g. in Stata, R). Strong communication and time management skills are also essential for this role.

  • The closing date for applications is 12.00 noon (GMT) on 29 November 2019.