Data Scientist NIHR BioResource (Fixed Term)

CamWebDir; Cambridge; Remote; GBP 45,000 - 65,000; Full time

Benefits offered by this job

Flexible working

Pension scheme

41 days annual holiday

Job summary

NIHR BioResource is seeking a Data Scientist to integrate phenotypic and genomic data, manage metadata, and support cohort discovery for research projects. The role involves preparing de-identified datasets for researchers and collaborating on data protection and security standards.

You will work under the guidance of a line manager, combining Python-based data manipulation with SQL/NoSQL data modelling on Linux systems in a dynamic university environment.

Qualifications

• Experience with phenotypic and genomic data and database modelling.
• Proficiency in Python with Pandas and NumPy.
• Knowledge of Linux and shell scripting.
• Ability to organise and manage large datasets for research.
• Experience with data protection, anonymisation and security discussions.

Responsibilities

• Link omics data with phenotypic and demographic data to support cohort discovery.
• Prepare datasets for recall-based research and for researchers.
• Coordinate with researchers on data standards and metadata.
• Maintain and document metadata assets of NIHR BioResource projects.

Skills

Python

Pandas

NumPy

Linux

Shell scripting

MySQL

NoSQL

Data modelling

Job description

# Data Scientist NIHR BioResource (Fixed Term)UUniversity of CambridgeCB2 1TNvia University of CambridgePosted 27 Oct 2026Apply on cam.ac.uk →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, including some of our COVID-19 research studies, 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 securityAbout 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 efficiently and meet deadlines and work unsupervisedWhat we offer:The University offers a wide range of benefits including flexible working, family friendly policies, an attractive pension scheme (employer's contribution is 14.5%). and 41 days' annual holiday (inclusive of public holidays). We encourage career development by providing extensive training & development opportunities.This appointment is full-time, 37 hours per week; part-time to 80% will be considered. Work / life balance is important, and we are open to discussion on flexible working, including hybrid working.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.Our offices are on the Cambridge Biomedical Campus CB2 0QQ (approximately 2 miles south of the city centre).See the Further Information link below for full details and Person Specification.This appointment requires a Research Passport application.We encourage informal queries about the job or the application process - please contact Stephane Ballereau, Lead Bioinformatician, [e-mail] 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 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.Please quote reference RW51514 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.