Computational Biologist

Job not on LinkedIn

🕒 June 24

🌏 Anywhere in the World

⏰ Full Time

🟡 Mid-level

🟠 Senior

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Logo of Bio Protocol

Bio Protocol

11 - 50 employees

🧬 Biotechnology

₿ Crypto

đŸ€– Artificial Intelligence

Biotechnology ‱ Crypto ‱ 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.

📋 Description

‱ 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

🎯 Requirements

‱ 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 ‱ 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

đŸ–ïž Benefits

‱ Fully remote - work from anywhere ‱ Competitive compensation with token/equity component

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