Data Scientist

University of Oxford - Oxford Population Health (Nuffield Department of Population Health, University of Oxford), Leverhulme Centre for Demographic Science (LCDS)

Location:	Oxford
Salary:	£38,674 to £46,913 per annum (Including University of Oxford weighing allowance)
Hours:	Part Time
Contract Type:	Fixed-Term/Contract

Placed On:	23rd July 2025
Closes:	6th August 2025
Job Ref:	181039

Based at Oxford Population Health (Nuffield Department of Population Health), the Demographic Science Unit (DSU) is at the forefront of demographic research that aids society, government and industry. The DSU is home to the Leverhulme Centre for Demographic Science, an interdisciplinary research centre funded by the Leverhulme Trust and directed by Professor Melinda Mills which aims to disrupt and realign how we measure and model populations by infusing new types of data, methods and unconventional approaches to tackle the most challenging demographic problems of our time.

We are looking to recruit a Data Scientist onto a time delimited funded project who has experience of working with both bibliometric data (and data dashboards such as the GWAS Diversity Monitor), and an understanding of working on epidemiological analysis of the UK Biobank. This role will involve working with Co-Is Professor Melinda Mills and Associate Professor Charles Rahal, and with a wider team in the Demographic Science Unit and Leverhulme Centre for Demographic Science. The role is to aid in the completion of a specific large-scale scientometric project.

To be considered for the role you will hold a MSc in a computational discipline with close links to epidemiology, have experience of working as a research assistant on scientometric review and experience of using the UK Biobank.

This is post is part-time (0.25 FTE), fixed term post for 9 months.

The closing date for applications is noon on 6 August 2025.

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.

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