Computational Biology Data Scientist Grade 7

University of Liverpool, United Kingdom

Updated: 16 days ago
Location: Liverpool, ENGLAND
Deadline: 08 Apr 2025

Are you eager to make a meaningful impact on 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 two newly launched Cystic Fibrosis Innovation Hubs: PULSE-CF and CF-TrailFinder. You¿ll collaborate with clinicians, experimental scientists, and fellow data experts to uncover novel insights into cystic fibrosis exacerbations by providing expertise analysing data from multi-omics experiments and marrying it to clinical data.

You should hold a PhD in bioinformatics, systems biology or a related field, 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 opportunity to design analyses, expand your data scientist skillset and gain hands-on experience integrating and interpreting omics data, shaping powerful analytical pipelines, and publishing high-impact results, all whilst working at the cutting edge of the field. If you¿re excited by the opportunity to apply your coding and analytical skills to real-world clinical research, we'd love to hear from you!

The role is initially available for 4-years and will be offered as a hybrid position.

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.


Similar Positions