This is a new role for the team and real chance to make a tangible impact from day one. Utilise your expertise to support CRH in taking take a bigger, more holistic view of cancer. Build robust evidence packages and leverage cutting-edge systems-level predictive modelling to uncover the molecular pathways driving cancer development. You will become an integral part of the Cancer Research Horizon Drug Discovery team helping to progress novel cancer targets towards patient benefit. Furthermore, we actively encourage our colleagues to celebrate our science, by attending conferences, presenting posters, giving talks at events and publishing papers.
What will I be doing?
Our new strategy sets out to bring deeper mechanistic understanding at the molecular and cellular level to all stages of projects, from idea to pre-clinical Candidate. Reporting directly to the Leader of our Quantitative Biology team, we are looking for an experienced computational biologist to develop a systems level approach to understanding cancer molecular networks to underpin predictive modelling of patient response that moves beyond single-gene biomarkers. In this role you will take a mechanistic, causative approach to understanding how patient somatic mutations drive the development of cancer and work closely with functional genomics scientists to test novel hypotheses.