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.