Postdoctoral Health Data Scientist

Updated: 3 months ago
Location: Oxford, ENGLAND
Deadline: 26 Jan 2024

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.

The closing date for applications is 12 noon on Friday 26th January 2024. You will be required to upload a supporting statement as part of your online application. Please quote 169888 on all correspondence.



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