Researcher On The National Perinatal Mortality - Oxford, United Kingdom - University of Oxford

University of Oxford
University of Oxford
Verified Company
Oxford, United Kingdom

3 weeks ago

Tom O´Connor

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Tom O´Connor

beBee Recruiter
Description
At the heart of this role is the prevention of babies dying around the time of birth.

You will work on the national Perinatal Mortality Review Tool (PMRT) programme which focuses on understanding why babies die and working to prevent future deaths.

We have developed the national PMRT to support hospitals in the UK in carrying out robust reviews when babies die, to learn lessons to help prevent future deaths.

This post is central to maximising the benefits of PMRT review for parents, supporting hospitals, and driving further developments of the PMRT.


We are looking for an experienced quantitative researcher with project management skills to join the team responsible for delivering the national PMRT programme.

This newly-created and varied role will be central to the continuing success of the PMRT programme.

The post-holder will have a range of responsibilities including the, largely quantitative, analysis of national PMRT data; supporting the further development of the PMRT; supporting parent, public and patient involvement and engagement; and driving forward the delivery of the programme.


The post is based in the Nuffield Department of Population Health (NDPH) which comprises world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching.

The National Perinatal Epidemiology Unit is an internationally recognised, multi-disciplinary research unit based within the NDPH at the University of Oxford, Old Road Campus in Headington, Oxford.

The Unit undertakes research about pregnancy, childbirth and newborn babies.


To be considered for this role you will have a postgraduate qualification in a relevant health-related science; experience of the analysis of quantitative data, including using logistic regression and other data modelling techniques; and project management experience.

You will also have a track record of publication of papers and writing reports, as well as excellent organisational, interpersonal and communication skills.

The position is full-time (part-time considered) and fixed-term until March 2026.
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