University of Oxford, NDPH, HERC
We have a vacancy for a Senior Researcher in Health Economics in the area of economic evaluation and decision modelling using large clinical studies and cohort/routine health data.
Closing date 18th December 2019.
Informal enquiries should be addressed to Dr Borislava Mihaylova ([log in to unmask]<mailto:[log in to unmask]>).
· Grade 8: £41,526 - £49,553 p.a. (pro rata for part-time)
· Vacancy ID: 144025; Further information and how to apply<https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=144025>
· Contacts: 01865 743629 / [log in to unmask]<mailto:[log in to unmask]>
· Closing date for applications is 12.00 noon on Wednesday 18 December 2019 GMT+0100 (GMT Daylight Time).
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, with a varied research programme and a well-established reputation as a centre of excellence in this field.
We are seeking a highly analytically skilled and experienced Researcher to contribute to the development of a programme of work in the field of developing economic analyses/models using large randomised controlled trial and observational data in the field of chronic diseases.
To be considered for this post you will have graduate and/or postgraduate qualification (a PhD/DPhil or equivalent experience is essential) in a relevant discipline (e.g. economics, mathematics, statistics, epidemiology or other quantitative discipline) as well as a proven track record of previous research in a relevant field. You will have strong analytical and data analysis skills (e.g. an experience in developing clinical/health studies, handling individual patient databases, developing disease models), and an established (inter)national reputation and publication record.
Expertise in using R for data management and analyses is a pre-requisite (please submit two A4 pages of executable R code with your application). Excellent interpersonal and communication skills are also essential for this role.
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