Computational Biologist
Skills
About the Role
You will validate AI-generated biological outputs using computational methods such as simulations, structural analysis, and database cross-referencing. You will translate AI predictions into executable protocols for cloud labs or technical specifications for CROs. You will build and maintain validation pipelines that catch errors before experiments run and manage the hand-off from digital predictions to physical experiments. You will transform JSON outputs into experimental protocols and validation workflows.
Requirements
- PhD in Computational Biology Bioinformatics or equivalent experience
- Proficiency in Python and/or R for data analysis and pipeline development
- Experience with computational validation methods including molecular simulations structural analysis and sequence analysis
- Ability to critically evaluate biological predictions and identify potential issues
- Comfort working at the interface of software and biology
Responsibilities
- Validate AI outputs using computational methods such as simulations structural analysis and database cross-referencing
- Translate AI predictions into executable protocols for cloud labs and technical specifications for CROs
- Build and maintain validation pipelines to catch errors before they consume lab resources
- Manage the hand-off between digital predictions and physical experiments
- Transform JSON outputs into experimental protocols and validation workflows
Benefits
- Fully remote work
- Token or equity component