Data Scientist, NIHR BioResource (Fixed Term)

About the role

The Data Scientist is a post in the Bioinformatics team of the NIHR BioResource for Translational Research within the Department of Haematology at the University of Cambridge. The role provides data to researchers in academia and industry through cohort discovery by mining phenotypic and genomic data, and gives analytical support when required. It involves maintaining, validating, auditing, reporting and archiving metadata, quality control and assurance, and extracting, transforming and loading incoming data from many sources. The post is full time, 37 hours per week, fixed term until 31 March 2028, based at the Cambridge Biomedical Campus.

Key responsibilities

• Link omics data (especially genomics) with biomedical, demographic and phenotypic data to support participant selection for proposed research studies
• Contribute to complex linkage experiments, such as joining omics data to sample holdings and rich clinical phenotypes
• Prepare datasets for recall-based studies identifying potential volunteers
• Prepare de-identified datasets for release to researchers
• Discuss with researchers the expected standards on data protection, anonymisation and security
• Maintain, validate, audit, report and archive metadata, and track data securely
• Extract, transform, organise and load incoming data from various sources
• Collaborate with NIHR Biomedical Research Centres and Clinical Research Facilities on data frameworks and policies, and contribute to centralised data management and data linkage strategies

Required profile

• Experience and in-depth knowledge of phenotypic and genomic data and database modelling
• Proven programming ability in Python, including libraries such as Pandas and NumPy
• Good knowledge of Linux and shell scripting
• Ability to prioritise and plan work, meet deadlines and work unsupervised

Required skills

• MySQL and NoSQL or equivalent
• Python with Pandas and NumPy
• Linux and shell scripting

What we offer

• Salary of 36,320 to 46,970 pounds (Grade 7)
• Flexible working, family-friendly policies and a pension scheme with employer contribution of 14.5%
• 41 days' annual holiday inclusive of public holidays
• Extensive training and development opportunities

Applications are made online through the University's recruitment system, quoting reference RW51514, with a covering letter and CV; the post requires a Research Passport application and closes on 18 November 2026.