Computational Biologist

Validate AI-generated biological outputs using computational methods, translate predictions into executable protocols for cloud labs or CROs, build validation pipelines, and manage the hand-off from digital predictions to physical experiments.

Responsibilities

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

Requirements

• PhD in Computational Biology, Bioinformatics, or equivalent experience
• Proficiency in Python and/or R for data analysis and pipeline development
• Experience with molecular simulations, structural analysis, and 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, CROs, AI/ML systems, or adversarial testing is a plus

Benefits

• Fully remote work from anywhere
• Small team where expertise directly shapes the science
• Competitive compensation with token/equity component