Computational Biologist
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 รขยยข Validate AI outputs using computational methods - simulations, structural analysis, database cross-referencing รขยยข Translate AI predictions into executable protocols for cloud labs (Emerald, Strateos) or technical specs for CROs รขยยข Build and maintain validation pipelines that catch errors before they waste lab resources รขยยข Manage the "hand-off" between digital predictions and physical experiments รขยยข Transform JSON outputs from our agents into experimental protocols and validation workflows What We're Looking For รขยยข PhD in Computational Biology, Bioinformatics, or related field preferred - or equivalent exceptional experience รขยยข Strong proficiency in Python and/or R for data analysis and pipeline development รขยยข Experience with computational validation methods (molecular simulations, structural analysis, sequence analysis) รขยยข Ability to critically evaluate biological predictions and identify potential issues รขยยข Comfort working at the interface of software and biology Nice to Have รขยยข Experience with cloud lab platforms (Emerald, Strateos, or similar) รขยยข Background working with CROs or translating computational work to wet-lab execution รขยยข Familiarity with AI/ML systems and their failure modes รขยยข Experience red-teaming or adversarially testing scientific predictions Why Bio รขยยข Work at the cutting edge of AI-driven biology รขยยข Fully remote - work from anywhere รขยยข Small team where your expertise directly shapes our science รขยยข 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.