Computational Biologist
Bio · Remote
About this role
## 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. You’ll 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 (e.g., **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 (e.g., **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 with **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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