University of Oxford

Open Data about the University of Oxford

data.ox.ac.uk

beta

Health Data Scientist

Applications for this vacancy closed on 24 February 2025 at 12:00PM
Applications are invited for a Health Data Scientist to work with a team
working with Professor Sir Aziz Sheikh on a research programme that involves
research using large cohort electronic health data with a focus on evaluating
the impact of health policy interventions (e.g. introduction of RSV programme,
clean air zones, abolition of winter fuel subsidies to pensioners) across the
UK, using natural experiment designs.





The successful applicant will be expected to develop and carry out their own
aspect of work, using large cohort electronic health data which contributes
significantly to work of the HDRUK funded Driver Program for Inflammation and
Immunity.





Responsibilities will include writing complex queries to produce anonymised,
harmonised electronic health datasets to use in cohort studies containing
health data from multiple sources and analysis of multiple linked datasets to
understand and provide expert advice and guidance on the impact of health
policy interventions on respiratory health.





You will hold a PhD(or near completion) in epidemiology or statistics
involving the use of electronic healthcare record data or a closely related
discipline, , or equivalent research, industrial or commercial experience. You
will have demonstratable experience in writing queries to transfer, transform
and interrogate data from large databases and accompanying statistical
analysis packages (e.g. R, SQL).





You will be based in the Nuffield Department of Primary Care Health Sciences,
Radcliffe Primary Care Building, Woodstock Road, Oxford, OX2 6GG as your
normal place of work but there may be the opportunity for occasional remote
working as agreed with your line manager.





The position is full time and fixed term until 31 July 2027.





For further information or to discuss the post please contact Stuart Faulkner
(Senior Program Manager), stuart.faulkner@phc.ox.ac.uk.





“Committed to equality and valuing diversity”





You will be required to upload a CV and Supporting Statement as part of your
online application. The Supporting Statement should include a cover letter and
should also clearly describe how you meet each of the selection criteria
listed in the job description. Click here for information and advice on
writing an effective Supporting Statement. **Please do not attach any
manuscripts, papers, transcripts, mark sheets or certificates as these will
not be considered as part of your application.**





The closing date for applications is **12:00** **noon on Monday 24 February
2025.**

dc:spatial
Nuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, Woodstock Road, Oxford
Subject
oo:contact
oo:formalOrganization
oo:organizationPart
vacancy:applicationClosingDate
2025-02-24 12:00:00+00:00
vacancy:applicationOpeningDate
2025-01-27 09:00:00+00:00
vacancy:furtherParticulars
vacancy:internalApplicationsOnly
False
vacancy:salary
type
comment

Applications are invited for a Health Data Scientist to work with a team working with Professor Sir Aziz Sheikh on a research programme that involves research using large cohort electronic health data with a focus on evaluating the impact of health policy interventions (e.g. introduction of RSV programme, clean air zones, abolition of winter fuel subsidies to pensioners) across the UK, using natural experiment designs.

 

The successful applicant will be expected to develop and carry out their own aspect of work, using large cohort electronic health data which contributes significantly to work of the HDRUK funded Driver Program for ...
Applications are invited for a Health Data Scientist to work with a team
working with Professor Sir Aziz Sheikh on a research programme that involves
research using large cohort electronic health data with a focus on evaluating
the impact of health policy interventions (e.g. introduction of RSV programme,
clean air zones, abolition of winter fuel subsidies to pensioners) across the
UK, using natural experiment designs.





The successful applicant will be expected to develop and carry out their own
aspect of work, using large cohort electronic health data which contributes
significantly to work of the HDRUK funded Driver Program for Inflammation ...
label
Health Data Scientist
notation
175590
based near
page