This is a new role for the team and realchance to make a tangible impact from day one.We are looking for candidates who can bring strong experience of AI and machine learning tounlock the power of real patient data.We'rejust scratching the surface, andnow'syour chance to lead the way.InIn thisrole,you will become an integral part of the Cancer Research Horizon Drug Discovery team helping to progress novel cancer targets towards patient benefit.Furthermore,weactively 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 todevelop, evaluate, and apply both existing and novel machine learning and AI approaches to integrate multi-modal oncology datasets to generate novel testable hypotheses.As aPrincipalComputationalBiologist,you will work closely with bench scientists, bioinformaticians, and statisticians to design functional genomics experiments to test computational predictions and support the analysis and interpretation of downstream validation experiment.
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