Computational Biology Data Scientist – Grade 7

Are you eager to make a meaningful impact on paediatric patient lives while honing your data science expertise? Join our vibrant, cross-disciplinary team as a Computational Biology Data Scientist, driving cutting-edge research within the Experimental Arthritis Treatment Centre for Children within Alder Hey Children’s Hospital. You’ll collaborate with clinicians, experimental scientists, and fellow data experts to uncover novel insights into paediatric auto-immune disease by providing expertise analysing data from omics technologies and integrating it with to clinical data.

You should hold a PhD in bioinformatics, systems biology or related subject or have equivalent work experience. You should have significant experience in the application of statistics and bioinformatics techniques to answer biological questions particularly from omics data. At the CBF, our supportive environment encourages professional growth, fosters knowledge-sharing, and values creative ideas. In this post, you will have a unique role to design analyses, you will expand your data scientist toolbox and gain hands-on experience integrating and interpreting omics data, shaping powerful analytical pipelines, and publishing high-impact results. If you’re excited by the opportunity to apply your coding and analytical skills to real-world clinical research, we we'd love to hear from you!

The role is available for 2-years in the first instance and offers hybrid working.

The university operates a hybrid work environment for staff, with a current minimum requirement of 40% on Campus, with 60% considered desirable where possible.

Commitment to Diversity

The University of Liverpool is committed to enhancing workforce diversity. We actively seek to attract, develop, and retain colleagues with diverse backgrounds and perspectives. We welcome applications from all genders/gender identities, Black, Asian, or Minority Ethnic backgrounds, individuals living with a disability, and members of the LGBTQIA+ community.

Closing Date: 2 December 2025 23:30

For full details and to apply online, please click on the apply button above. 

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