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Senior Researcher in Health Economics, Grade 8: £39,992 - £47,722 p.a.
(If no suitable applicant is forthcoming at Grade 8, an appointment at Grade 7 (£31,604 - £38,833 p.a.) with appropriate adjustment of duties, may be considered.)

Health Economics Research Centre, Nuffield Department of Population Health, Old Campus Road, Headington, Oxford
* Vacancy ID: 130966
* Contact Phone: 01865 743629 / Contact Email: [log in to unmask]<mailto:[log in to unmask]>
* The closing date for applications is 12.00 noon on Wednesday 18 October 2017.
* https://www.herc.ox.ac.uk/about/jobs   (for further information and to apply)

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 Senior Researcher to contribute to the development of a programme of work in the field of developing economic analyses/models using large observational or randomised controlled trials in the field of chronic diseases, ensuring best practice is followed in terms of analytic methods, modelling and presentation of results. Development of a programme of work in the field of monitoring chronic kidney disease in primary care and lipid modification therapy for reducing cardiovascular risk will be the focus of the post.

To be considered for this post you will have a PhD/DPhil in a relevant discipline (e.g. economics, mathematics, statistics, epidemiology or other quantitative discipline) or equivalent experience 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 reputation and publication record. Substantial expertise and previous experience in using R for data management and analyses is a pre-requisite. Excellent interpersonal and communication skills are also essential for this role.

The post is full-time (part-time considered, at least 50% FTE) and fixed-term for 2 years in the first instance.

Informal enquiries should be addressed to Dr Borislava Mihaylova ([log in to unmask]<mailto:[log in to unmask]>).

The closing date for applications is 12.00 noon on 18 October 2017. Interviews are planned to take place the during week commencing 30 October 2017.

Please note that the University of Oxford's retirement policy is changing. With effect from October 1 2017, all employees at Grade 8 and above will have a retirement age of 68, and all employees at Grades 6 and 7 will no longer have a set retirement age. Further details are available at: www.ox.ac.uk/about/jobs/preemploymentscreening<http://www.ox.ac.uk/about/jobs/preemploymentscreening> .