Computational Biologist
BIO · Remote
MeritLog read this listing from BIO's Ashby job board and last checked it on September 13, 2026.
Source: the employer's Ashby job board. Open the original listing for current details.
Job details
- Work model
- Remote
- Salary
- Not listed by source
- Location
- Remote
Hiring context
How this role compares at BIO
BIO has 11 live roles in MeritLog’s catalog across 4 job families, and 4 of them are in data & analytics. 0 of those listings publish a pay range, a disclosure rate of 0%.
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd 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
- 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
What they're asking for
- Experience with cloud lab platforms (Emerald, Strateos, or similar)SkillPreferred
- Background working with CROs or translating computational work to wet-lab executionSkillPreferred
- Familiarity with AI/ML systems and their failure modesSkillPreferred
- Experience red-teaming or adversarially testing scientific predictionsSkillPreferred
- Work at the cutting edge of AI-driven biologySkillPreferred
- Fully remote - work from anywhereSkillPreferred
- Small team where your expertise directly shapes our scienceSkillPreferred
- Competitive compensation with token/equity componentSkillPreferred
Parsed by MeritLog from the employer’s own posting. The full description follows below.
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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