TechMojo Solutions
From TechMojo Solutions's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
About the role We're looking for a computational biologist to serve as the bridge between our AI systems and physical reality.
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. About 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. Responsibilities 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 Requirements 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
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