Computational Biologist

<p style="min-height:1.5em">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.</p><p style="min-height:1.5em"></p><h2><strong>The Role</strong></h2><p style="min-height:1.5em">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.</p><p style="min-height:1.5em"></p><h2><strong>What You'll Do</strong></h2><p style="min-height:1.5em">• Validate AI outputs using computational methods - simulations, structural analysis, database cross-referencing</p><p style="min-height:1.5em">• Translate AI predictions into executable protocols for cloud labs (Emerald, Strateos) or technical specs for CROs</p><p style="min-height:1.5em">• Build and maintain validation pipelines that catch errors before they waste lab resources</p><p style="min-height:1.5em">• Manage the "hand-off" between digital predictions and physical experiments</p><p style="min-height:1.5em">• Transform JSON outputs from our agents into experimental protocols and validation workflows</p><p style="min-height:1.5em"></p><h2><strong>What We're Looking For</strong></h2><p style="min-height:1.5em">• PhD in Computational Biology, Bioinformatics, or related field preferred - or equivalent exceptional experience</p><p style="min-height:1.5em">• Strong proficiency in Python and/or R for data analysis and pipeline development</p><p style="min-height:1.5em">• Experience with computational validation methods (molecular simulations, structural analysis, sequence analysis)</p><p style="min-height:1.5em">• Ability to critically evaluate biological predictions and identify potential issues</p><p style="min-height:1.5em">• Comfort working at the interface of software and biology</p><p style="min-height:1.5em"></p><h2><strong>Nice to Have</strong></h2><p style="min-height:1.5em">• Experience with cloud lab platforms (Emerald, Strateos, or similar)</p><p style="min-height:1.5em">• Background working with CROs or translating computational work to wet-lab execution</p><p style="min-height:1.5em">• Familiarity with AI/ML systems and their failure modes</p><p style="min-height:1.5em">• Experience red-teaming or adversarially testing scientific predictions</p><p style="min-height:1.5em"></p><h2><strong>Why Bio</strong></h2><p style="min-height:1.5em">• Work at the cutting edge of AI-drive