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RESEARCHER IN HEALTH ECONOMICS

Nuffield Department of Population Health, Old Campus Road, Headington, Oxford

Closing Date: WEDNESday 18 SEPTEMBER 2019 12:00:00 GMT+0100 (GMT Daylight Time)

Grade 8: £32,236 - £39,609 p.a. (pro rata for part-time)

  • To apply online please click HERE and search using the unique Vacancy ID number found below.
Location: Oxford
Salary: Grade 8: £32,236 - £39,609 p.a.
Hours: Full-time (part-time considered)
Contact Phone: 01865 743629
Contact Email: recruit@ndph.ox.ac.uk
Vacancy ID: 142190

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 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, 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 lipid modification therapy for reducing cardiovascular risk will be the focus of the post.

To be considered for this post you will have graduate and postgraduate qualifications in a relevant discipline (e.g. economics, mathematics, statistics, epidemiology or other quantitative discipline) or equivalent work experience 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 publication record. Previous experience 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.

  • Informal enquiries should be addressed to Dr Borislava Mihaylova (boby.mihaylova@dph.ox.ac.uk).
  • The closing date for applications is 12.00 noon on 25 September 2019.

 

SENIOR RESEARCHER IN HEALTH ECONOMICS

Nuffield Department of Population Health, Old Campus Road, Headington, Oxford

Closing Date: WEDNESDAY 18 SEPTEMBER 2019 12:00:00 GMT+0100 (GMT Daylight Time)

Grade 8: £40,792 - £48,677 p.a. (pro rata for part-time)

Location: Oxford
Salary: Grade 8: £40,792 - £48,677 p.a.
Hours: Full-time (part-time considered)
Contact Phone: 01865 743629
Contact Email: recruit@ndph.ox.ac.uk
Vacancy ID: 142189

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, 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 lipid modification therapy for reducing cardiovascular risk will be the focus of the post.

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. Substantial 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.

  • The closing date for applications is 12.00 noon on 25 September 2019.