Computational Biologist

We're looking for a computational biologist to serve as the bridge between our AI systems and physical reality. We need someone who can programmatically QA the high-volume outputs of our AI before they reach the bench - catching errors that are invisible to humans but obvious in the data. What You'll Do - 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 What We're Looking For - 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 Nice to Have - 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 Why Bio - Work at the cutting edge of AI-driven biology - Fully remote - work from anywhere - Small team where your expertise directly shapes our science - Competitive compensation with token/equity component