Computational Biologist

🕒 June 24

🌏 Anywhere in the World

⏰ Full Time

🟡 Mid-level

🟠 Senior

👻 Ghost score 68%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Bio Protocol

WebsiteLinkedInAll Job Openings

11 - 50 employees

🧬 Biotechnology

₿ Crypto

🤖 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

🏖️ Benefits

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

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