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Shared by 
about 2 months ago
Requirements and responsibilities
About BioBio 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 RoleWe're looking for a computational biologist to serve as the bridge between our AI systems and physical reality. You will 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 DoValidate AI outputs using computational methods—simulations, structural analysis, database cross-referencingTranslate AI predictions into executable protocols for cloud labs (Emerald, Strateos) or technical specs for CROsBuild and maintain validation pipelines that catch errors before they waste lab resourcesManage the “hand-off” between digital predictions and physical experimentsTransform JSON outputs from our agents into experimental protocols and validation workflowsWhat We're Looking ForPhD in Computational Biology, Bioinformatics, or related field preferred—or equivalent exceptional experienceStrong proficiency in Python and/or R for data analysis and pipeline developmentExperience with computational validation methods (molecular simulations, structural analysis, sequence analysis)Ability to critically evaluate biological predictions and identify potential issuesComfort working at the interface of software and biologyNice to HaveExperience with cloud lab platforms (Emerald, Strateos, or similar)Background working with CROs or translating computational work to wet-lab executionFamiliarity with AI/ML systems and their failure modesExperience red-teaming or adversarially testing scientific predictionsWhy BioWork at the cutting edge of AI-driven biologyFully remote—work from anywhereSmall team where your expertise directly shapes our scienceCompetitive compensation with token/equity component
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