Computational Biologist
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Can I apply?
- Full-time
- Remote from anywhere
- Work permit not stated
Computational biologist role at Bio, a decentralized science protocol, to programmatically QA AI outputs and turn predictions into lab protocols for cloud labs or CROs.
Requires strong Python and/or R skills plus computational validation experience (molecular simulation, structural or sequence analysis).
PhD in a related field is preferred, or equivalent exceptional experience.
Fully remote, "work from anywhere"; no country, work authorization, or timezone restrictions are stated. Salary is not listed (token/equity component mentioned).
From the posting
- workplace
ATS location says remote: Remote
- employment types
full_time
- remote eligible countries
Fully remote - work from anywhere
- job function
We're looking for a computational biologist
- role family
Computational Biologist
- skills
Strong proficiency in Python and/or R for data analysis and pipeline development
- skills
Experience with computational validation methods (molecular simulations, structural analysis, sequence analysis)
- education required
PhD in Computational Biology, Bioinformatics, or related field preferred - or equivalent exceptional experience
- actionable
We're looking for a computational biologist to serve as the bridge between our AI systems and physical reality.
- scam risk
Competitive compensation with token/equity component
Job description
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. 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.
WHAT YOU'LL DO
• 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
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 (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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- ashby — jobs.ashbyhq.com