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Closing date: noon on Thursday 16 February 2023

OXFORD POPULATION HEALTH (NUFFIELD DEPARTMENT OF POPULATION HEALTH) OLD ROAD CAMPUS, HEADINGTON, OXFORD

Location:

Oxford

Salary:

Grade 8: £43,414 - 51,805 p.a.

Hours:

Full-time (part-time considered)

Contact Phone:

01865 617933

Contact Email:

recruit@ndph.ox.ac.uk

Vacancy ID:

162929

The Nuffield Department of Population Health (NDPH) 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 well-established group with a key focus on the economics of diabetes, cardiovascular disease, and infectious diseases. These posts provide the opportunity to conduct health economic research on a wide range of large data sets collected as part of clinical trials, registries and administrative databases in order to construct models that can support economic evaluation.
 
As a senior researcher in Health Economics you will work primarily on the ‘AMR [antimicrobial resistance] Data to Inform Local Action (ADILA)’, the ‘Prevention and management tools for reducing antibiotic resistance in high prevalence settings’ (REVERSE), and the ‘Health Protection Research Unit in Healthcare Associated Infections and AMR’ projects.
 
You will evaluate relationships between antibiotic prescribing levels and adverse clinical outcomes in a wide range of common infections using large databases to assess whether there may be safe levels of prescribing; perform health-economic analyses alongside the REVERSE trial; and other econometric/statistical analyses to inform policy decisions around optimal prevention and treatment of infections across the globe.
 
To be considered, you will hold or be close to completion of a relevant PhD/DPhil and have substantial experience in the area of antimicrobial resistance and use and health outcomes or health economics. You will also have strong decision analytic and statistical/econometric modelling skills, experience in handling large and complex datasets a strong peer review publication record and have excellent interpersonal and communication skills.
 
You will be required to upload a CV and a cover letter as part of your online application. The cover letter should clearly describe how you meet each of the selection criteria listed in the job description.
 
The two positions are full time (part time considered) and fixed term for 2.5 years in the first instance. 
  • The closing date for applications is 12.00 noon on Thursday 16 February 2023.
  • For more information, job description and to apply please click here