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.