Bio Protocol
11 - 50 employees
𧏠Biotechnology
âż Crypto
đ€ Artificial Intelligence
Biotechnology âą Crypto âą Artificial Intelligence
Bio Protocol is a decentralized science (DeSci) financial layer and platform that tokenizes and funds early-stage biotechnology research. It enables community-governed DAOs and tokenized IP to raise capital via BIO token launches and Ignition Sales, offers staking and loyalty mechanics (BioXP), and provides infrastructure such as a Launchpad and Liquidity Engine. The protocol also supports AI-driven scientific tools (BioAgents and the BIOS AI scientist) to accelerate research, coordination, and commercialization of scientific innovations.
Computational Biologist
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đ„ 2 minutes ago
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Bio Protocol
11 - 50 employees
𧏠Biotechnology
âż Crypto
đ€ Artificial Intelligence
Biotechnology âą Crypto âą Artificial Intelligence
Bio Protocol is a decentralized science (DeSci) financial layer and platform that tokenizes and funds early-stage biotechnology research. It enables community-governed DAOs and tokenized IP to raise capital via BIO token launches and Ignition Sales, offers staking and loyalty mechanics (BioXP), and provides infrastructure such as a Launchpad and Liquidity Engine. The protocol also supports AI-driven scientific tools (BioAgents and the BIOS AI scientist) to accelerate research, coordination, and commercialization of scientific innovations.
đ Description
âą Validate AI outputs using computational methods - simulations, structural analysis, database cross-referencing âą Translate AI predictions into executable protocols for cloud labs (Emerald, Strateos) or technical specs for CROs âą Build and maintain validation pipelines that catch errors before they waste lab resources âą Manage the "hand-off" between digital predictions and physical experiments âą Transform JSON outputs from our agents into experimental protocols and validation workflows
đŻ Requirements
âą PhD in Computational Biology, Bioinformatics, or related field preferred - or equivalent exceptional experience âą Strong proficiency in Python and/or R for data analysis and pipeline development âą Experience with computational validation methods (molecular simulations, structural analysis, sequence analysis) âą Ability to critically evaluate biological predictions and identify potential issues âą Comfort working at the interface of software and biology âą Experience with cloud lab platforms (Emerald, Strateos, or similar) âą Background working with CROs or translating computational work to wet-lab execution âą Familiarity with AI/ML systems and their failure modes âą Experience red-teaming or adversarially testing scientific predictions
đïž Benefits
âą Fully remote - work from anywhere âą Competitive compensation with token/equity component
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