Computational Biologist

March 7, 2026

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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. Backed by investors like Binance Labs, Northpond Ventures, and Animoca Brands, Bio accelerates real-world therapeutics across longevity, brain health, fertility, psychedelic science, and more. The Role 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 â¢ Validate AI outputs using computational methods - simulations, structural analysis, database cross-referencing â¢ Translate AI predictions into executable protocols for cloud labs (Emerald, Strateos) or technical specs for CROs â¢ Build and maintain validation pipelines that catch errors before they waste lab resources â¢ Manage the "hand-off" between digital predictions and physical experiments â¢ Transform JSON outputs from our agents into experimental protocols and validation workflows What We're Looking For â¢ PhD in Computational Biology, Bioinformatics, or related field preferred - or equivalent exceptional experience â¢ Strong proficiency in Python and/or R for data analysis and pipeline development â¢ Experience with computational validation methods (molecular simulations, structural analysis, sequence analysis) â¢ Ability to critically evaluate biological predictions and identify potential issues â¢ Comfort working at the interface of software and biology Nice to Have â¢ Experience with cloud lab platforms (Emerald, Strateos, or similar) â¢ Background working with CROs or translating computational work to wet-lab execution â¢ Familiarity with AI/ML systems and their failure modes â¢ Experience red-teaming or adversarially testing scientific predictions Why Bio â¢ Work at the cutting edge of AI-driven biology â¢ Fully remote - work from anywhere â¢ Small team where your expertise directly shapes our science â¢ Competitive compensation with token/equity component Please mention the word **AMAZEMENT** and tag RMjYwNzo1MzAwOjIwZDo3ZDAwOjo= when applying to show you read the job post completely (#RMjYwNzo1MzAwOjIwZDo3ZDAwOjo=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

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