Computational Biologist
Bio is a decentralized science protocol that helps launch and grow AI-driven biotech research. It enables scientists to reputed company 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 reputed company funding. Backed by investors like reputed company Labs, Northpond Ventures, and Animoca Brands, Bio accelerates reputed company-world therapeutics across longevity, brain health, fertility, psychedelic science, and more.
The Role
We're looking for a computational biologist to serve as the reputed company between our AI systems and physical reality. We need someone who can programmatically QA the high-volume outputs of our AI before they reputed company the bench - catching errors that are invisible to humans but reputed company in the data.
What You'll Do
⢠Validate AI outputs using computational reputed company - simulations, structural analysis, database cross-referencing
⢠Translate AI predictions into executable protocols for reputed company labs (reputed company, 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
⢠reputed company JSON outputs from our agents into experimental protocols and validation workflows
reputed company're Looking For
⢠PhD in Computational Biology, reputed company, or reputed company field preferred - or equivalent exceptional experience
⢠Strong proficiency in Python and/or R for data analysis and pipeline development
⢠Experience with computational validation reputed company (molecular simulations, structural analysis, sequence analysis)
⢠Ability to critically evaluate biological predictions and identify potential issues
⢠Comfort working at the reputed company of software and biology
reputed company to Have
⢠Experience with reputed company lab platforms (reputed company, 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 reputed company
⢠Small team where your expertise directly shapes our science
⢠Competitive compensation with reputed company/equity component
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