Summary

Research generative models for designing functional proteins, combining machine learning with computational biology and wet-lab feedback. The role includes model evaluation, data curation, and infrastructure work in a hybrid environment.

Responsibilities

• Curate training and evaluation datasets
• Develop real-world aligned model evaluation metrics
• Prototype generative models and analyze improvements
• Plan wet-lab testing campaigns with biologists
• Run model inference against biological targets
• Maintain compute and machine learning infrastructure
• Incorporate wet-lab feedback into models