Senior Computational Biologist

2 weeks ago

London, Greater London, United Kingdom Ochre Bio Full time
About the Role

We are seeking a highly skilled and motivated Senior Computational Biologist to join our In Silico Biology team at Ochre Bio. As a key member of our team, you will play a crucial role in supporting the development of advanced RNA medicines for some of the most pressing healthcare challenges of our time.

Key Responsibilities
  • Lead the 'advanced modelling' squad within the In Silico Biology Team, and serve as the point of contact and a role model for advanced modelling within the company.
  • Maintain strong domain knowledge of leading 'omics' and 'big data' computational methods.
  • Drive experimental design & modelling of deep phenotyping and/or omics data in close collaboration with wet-lab scientists.
  • Work as a member of cross-functional teams bringing together best-in-class Drug Discovery, Drug Development, Product & Project Management capabilities.
  • Routinely use Python/R for data analyses, in particular data wrangling, modelling and visualisation.
  • Develop solutions to increase automation, reliability and scalability of our data processing pipelines and workflows.
  • Maintain progress in personal and professional development to better domain, technical, and professional skills.
  • Present research updates to project teams and to the management team.
  • Contribute to training initiatives to foster a data-driven culture.
Requirements
  • PhD in computational biology or related field.
  • Experience in delivering results in a fast-paced environment (biotech/pharma industries would be a distinct advantage).
  • Strong experience with experimental design, exploratory data analysis, reporting and visualisation of data.
  • Experience in leading projects involving multiple stakeholders, end-to-end.
  • Experience with pipelines/reproducible scientific workflows development (i.e. Deep understanding of human biology beyond the statistical/ML models being developed).
  • Good knowledge with rapidly prototyping, writing and maintaining Python and/or R code, harnessing statistical tools for biological interpretations.
  • Familiarity with project management tools (SmartSheet/JIRA/ClickUp).
  • Familiarity with cloud computing (AWS).

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