Computational Biologist

About the Company

Bio is a decentralized science protocol that helps launch and grow AI-driven biotech research. It enables scientists to raise funds, create value from their work, and distribute that value directly to their communities. Since 2023, Bio has directed over $50m to global researchers, offering an alternative to traditional pharma funding.

Responsibilities

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

Requirements

• PhD in Computational Biology, Bioinformatics, or related field preferred
• Strong proficiency in Python and/or R for data analysis and pipeline development
• Experience with computational validation methods such as molecular simulations, structural analysis, or sequence analysis
• Ability to critically evaluate biological predictions and identify potential issues
• Comfort working at the interface of software and biology

Preferred Qualifications

• Experience with cloud lab platforms like Emerald or Strateos
• 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