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About the role

  • Computational Biologist at Bio validating AI outputs and translating predictions into lab experiments. Engaging in molecular simulations and structural analysis of biological data.

Responsibilities

  • Validate AI outputs using computational methods - simulations, structural analysis, database cross-referencing
  • Translate AI predictions into executable protocols for cloud labs (Emerald, Strateos) or technical specs for CROs
  • Build and maintain validation pipelines that catch errors before they waste lab resources
  • Manage the "hand-off" between digital predictions and physical experiments
  • Transform JSON outputs from our agents into experimental protocols and validation workflows

Requirements

  • PhD in Computational Biology, Bioinformatics, or related field preferred - or equivalent exceptional experience
  • Strong proficiency in Python and/or R for data analysis and pipeline development
  • Experience with computational validation methods (molecular simulations, structural analysis, sequence analysis)
  • Ability to critically evaluate biological predictions and identify potential issues
  • Comfort working at the interface of software and biology
  • Experience with cloud lab platforms (Emerald, Strateos, or similar)
  • Background working with CROs or translating computational work to wet-lab execution
  • Familiarity with AI/ML systems and their failure modes
  • Experience red-teaming or adversarially testing scientific predictions

Benefits

  • Fully remote - work from anywhere
  • Competitive compensation with token/equity component

Job title

Job type

Full Time

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Postgraduate Degree

Tech skills

CloudPython

Location requirements

RemoteWorldwide

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