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Computational Biologist at BIO. Location Information: . 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. • 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. Please mention the word **AMAZEMENT** and tag RMTA0LjE1NC4yMDcuNTI= when applying to show you read the job post completely (#RMTA0LjE1NC4yMDcuNTI=). 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..