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Research Assistant (Bioinformatics/Statistics)

University of Cambridge - Department of Haematology

Location: Cambridge
Salary: £33,002 to £35,608
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 15th May 2026
Closes: 31st May 2026
Job Ref: RB49718

This is a fixed-term post until 31 December 2026 with a possibility for extension.

We are looking for a highly motivated Research Assistant with expertise in bioinformatics and mathematics to join the group of Professor George Vassiliou at the University of Cambridge Department of Haematology and Cambridge Stem Cell Institute (CSCI) (https://www.stemcells.cam.ac.uk/vassiliou).

The Vassiliou Group is a large multi-disciplinary lab with a strong track record in studies of myeloid malignancy (e.g. Damaskou et al, Blood, 2025), clonal haematopoiesis (e.g. Gozdecka et al, Nature, 2025) and telomere biology (e.g. McLoughlin et al, Nat Genet, 2025). The group makes strong use of in vivo and in vitro modelling, genomic screening, functional assays and computational approaches including machine learning. We enjoy long-term funding including from Cancer Research UK, Blood Cancer UK and Kay Kendall Leukaemia Fund. We have strong links to other labs in the Department of Haematology and CSCI including through the Blood Cancer United and Blood Cancer UK Specialized Center of Research led by Professor Vassiliou. Our lab is based in the Jeffrey Cheah Biomedical Centre within the Cambridge Biomedical Campus, the largest centre of medical research and health science in Europe. We have an excellent record in training lab members with many Research Assistants going on to PhDs and more senior members progressing to fellowships and leadership positions.

As a Research Assistant with a strong bioinformatic and mathematical skillset, you will be analysing datasets from large cohorts like Our Future Health and the UK Biobank to investigate clonal haematopoiesis and improve our understanding of blood cancer prediction and prevention.

You will have at least a degree in mathematics or related subject and excellent coding and/or informatics skills. Prior expertise in using large scale datasets, such as Our Future Health and the UK Biobank will be an advantage. Attention to detail, flexibility, the ability to prioritise and excellent interpersonal skills are essential.

Fixed-term: the post is available until December 2026.

To apply online for this vacancy and to view further information about the role, please click on the ‘Apply’ button above.

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.

The closing date for applications is the 31st May 2026.

Interviews will be held in the week commencing 1st June 2026.

Please quote reference RB49718 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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