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Postdoctoral Health Data Scientist

Applications for this vacancy closed on 15 May 2024 at 12:00PM
We have an exciting opportunity for a Postdoctoral Health Data Scientist to
join the research group led by Associate Professor Sara Khalid at the Centre
for Statistics in Medicine, the Botnar Research Centre, NDORMS, University of
Oxford. Welcome to the Planetary Health Informatics Group. We combine fair and
safe artificial intelligence, remote monitoring technology and clinical
epidemiology to study international real-world health, environment, and
climate data, for the prevention and treatment of human diseases and to fill
the gaps in global health, leveraging common data models and federated network
analytics.



As a Postdoctoral Data Scientist, you will develop analysis plans, protocols,
ethical (and similar panel) submissions, governance and regulatory submissions
as required for ongoing and future studies. You will generate and analyse real
world health data assets, analyse data following pre-specified analysis plans
and/or approved protocols and prepare working theories and analyse
quantitative data from a variety of sources, reviewing and refining theories
as appropriate. You will carry out collaborative projects with colleagues in
partner institutions, and research groups, present papers at conferences or
public meetings, lead and support the drafting of scientific manuscripts for
dissemination as well as manage your own academic research and administrative
activities.



You will hold a Doctoral (or be near completion) or MSc degree in
applied/medical statistics, bio/medical engineering, health data sciences,
health informatics, computer science, clinical/environmental epidemiology, or
a similar field. Demonstrable advanced skills in programming in Python, SQL,
or similar languages, advanced skills and expertise in R programming and to
communicate results effectively in writing and verbally with colleagues in any
discipline are essential. Experience designing and conducting cohort, case-
control, and similar studies, experience in prediction modelling and
experience in common data models are desirable.



This is a full-time post, fixed-term contract for 21 months.



A lower grade offer may be made (Grade 6: £32,332- £33,205 p.a.) with
commensurate reduction in responsibilities (and a change in job title to
Research Assistant in Health Data Sciences) if a suitable candidate cannot be
found to fill the Grade 7 position.



The closing date for applications is 12 noon on 15/05/2024. You will be
required to upload a supporting statement as part of your online application.
Please quote 172572 on all correspondence.

dc:spatial
Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, Windmill Road, Oxford, OX3 7LD
Subject
oo:contact
oo:formalOrganization
oo:organizationPart
vacancy:applicationClosingDate
2024-05-15 12:00:00+01:00
vacancy:applicationOpeningDate
2024-04-24 09:00:00+01:00
vacancy:furtherParticulars
vacancy:internalApplicationsOnly
False
vacancy:salary
type
comment
We have an exciting opportunity for a Postdoctoral Health Data Scientist to
join the research group led by Associate Professor Sara Khalid at the Centre
for Statistics in Medicine, the Botnar Research Centre, NDORMS, University of
Oxford. Welcome to the Planetary Health Informatics Group. We combine fair and
safe artificial intelligence, remote monitoring technology and clinical
epidemiology to study international real-world health, environment, and
climate data, for the prevention and treatment of human diseases and to fill
the gaps in global health, leveraging common data models and federated network
analytics.



As a Postdoctoral Data Scientist, you will develop analysis plans, ...

We have an exciting opportunity for a Postdoctoral Health Data Scientist to join the research group led by Associate Professor Sara Khalid at the Centre for Statistics in Medicine, the Botnar Research Centre, NDORMS, University of Oxford. Welcome to the Planetary Health Informatics Group. We combine fair and safe artificial intelligence, remote monitoring technology and clinical epidemiology to study international real-world health, environment, and climate data, for the prevention and treatment of human diseases and to fill the gaps in global health, leveraging common data models and federated network analytics.


As a Postdoctoral Data Scientist, you will develop analysis plans, ...

label
Postdoctoral Health Data Scientist
notation
172572
based near
page