Computational Biologist

### About Bio 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 RMTAwLjU2LjE0LjE1NQ== when applying to show you read the job post completely (#RMTAwLjU2LjE0LjE1NQ==). 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.