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About the role
- Computational Biologist at Bio validating AI outputs and translating predictions into lab experiments. Engaging in molecular simulations and structural analysis of biological data.
Responsibilities
- 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
Job title
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Experience level
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