Data Scientist Study Support (Fixed Term)

open until filled
Medical Sciences, Hematology, Data Management
University of Cambridge
Cambridge, United Kingdom
£30,942-£40,322 GBP

Applications are invited for a Data Scientist to play a key role in research study support which underpins the NIHR BioResource operational model.

The NIHR BioResource for Translational Research provides the major nationally-accessible resource to improve healthcare and the long-term prevention, diagnosis and treatment of disease. Our mission is to facilitate human health research and its transformation into medical practice.

We have over 150,000 consented volunteers, from the general population and patients with common and rare diseases. BioResource volunteers are willing to be recalled according to their genotype and/or phenotype and to participate in academic and industry-led experimental medicine and clinical research studies. We aim to have 300,000 volunteers by the end of March 2022.

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,

Responsibilities include:

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
Discuss with researchers expected standards on data protection, anonymisation and security
This is a new position, joining a team of 3 people.

See the Further Particulars link below for full details and Person Specification.

This appointment is full-time, 37.5 hours per week.

The funds for this post are available until 31 March 2022 in the first instance, with a further extension of 5 years dependent on available funding.

The post holder will be based at the Cambridge Biomedical Campus, Cambridge CB2 0QQ (approximately 2 miles south of the city centre).

For informal queries about the vacancy or the application process, please contact Dr Jyoti Khadake, Senior Data Scientist, who can be contacted at:

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Closing date: 1st March 2020

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 RB22373 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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