University of Cambridge
Data Scientist NIHR BioResource (Fixed Term)
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Do you have great skills and experience organizing and managing data? Interested in a role contributing to improve lives? Looking for your next challenge?
We are recruiting a Data Scientist to provide data to researchers in academia and industry, through cohort discovery by mining phenotypic and genomic data, and to manage metadata assets of the NIHR BioResource projects under the guidance of the line manager.
To succeed in this role, you will need to be experienced in the manipulation of big and/or genomics data, the analysis and integration of different data types and the use of meta-data standards and vocabularies.
About NIHR BioResource
Our mission is to facilitate human health research and its transformation into medical practice.
NIHR BioResource is a unique and powerful resource for studying disease mechanisms and for investigating the links between genes, the environment, health and disease, enabling scientific discoveries as well as facilitating translational medicine for the benefit of patients.
Further details on the NIHR BioResource can be found on our website https://bioresource.nihr.ac.uk.
About The Job
You will be responsible for:
- Linking of omics data (especially genomics) and biomedical, demographic, and phenotypic data that form a major part of NIHR BioResource data assets to enable participant selection for proposed research studies
- Contribute to more complex linkage experiments, e.g. where omics data is joined to sample holdings and rich clinical phenotype
- Prepare datasets for recall-based research studies identifying potential volunteers
- Prepare de-identified datasets for release to researchers
- Discussions with researchers re expected standards on data protection, anonymisation and security
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About You
Ideally you will have:
- Experience and in-depth knowledge of phenotypic and genomic data and database modelling with proficiency in MySQL and No-SQL or equivalent
- Proven programming ability in Python is a must with experience in using libraries (such as Pandas and Numpy)
- Good knowledge of Linux and shell scripting
- Ability to prioritise and plan work to meet deadlines and work unsupervised
What We Offer
The University offers a wide range of benefits including flexible working, an attractive pension scheme (employer's contribution is 14.5%) and 41 days' annual holiday (inclusive of public holidays).
This appointment is full-time, 37 hours per week; part-time to 80% will be considered.
The post is available on a fixed-term basis until 31 March 2028 in the first instance. NIHR BioResource is funded by the National Institute for Health & Care Research (NIHR) on a 4-year funding cycle.
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Our offices are on the Cambridge Biomedical Campus, CB2 0QQ.
This appointment requires a Research Passport application.
We encourage informal queries - please contact Stephane Ballereau, Lead Bioinformatician, Stephane.Ballereau@bioresource.nihr.ac.uk.
How To Apply
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
Please ensure that you upload a covering letter and a CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.
The closing date for applications is Sunday 16 August 2026
The interview date for the role is to 02 or 03 September 2026
Please quote reference RW50475 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
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