Principal Computational Biologist

onenucleus; Cambridge; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading cancer research organization based in Cambridge is recruiting an experienced computational biologist to advance their understanding of cancer molecular pathways. The successful candidate will develop systems-level predictive models to assess patient responses, working closely with functional genomics scientists. This is an opportunity to contribute significantly to cutting-edge cancer research and attend industry conferences to present findings and share knowledge.

Qualifications

• Experience in computational biology with a focus on cancer research.
• Strong understanding of molecular pathways and cellular mechanisms.
• Ability to collaborate with functional genomics scientists.

Responsibilities

• Develop a systems level approach to understanding cancer molecular networks.
• Work on predictive modeling of patient responses to treatment.
• Collaborate with other scientists in testing novel hypotheses.

Skills

Computational biology

Predictive modeling

Systems-level approaches

Job description

This is a new role for the team and realchance to make a tangible impact from day one.Utilise yourexpertiseto support CRH in takingtake a bigger, more holistic view of cancer. Build robust evidence packages andleveragecutting-edgesystems-level predictivemodellingto uncover the molecular pathways driving cancer development. Youwillbecome 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 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.