Summary

Research machine learning models for designing functional proteins, with a focus on generative modeling and evaluation against real-world outcomes. The role combines computational work with biological collaboration in a hybrid working environment.

Responsibilities

• Curate training and evaluation datasets
• Develop model evaluation metrics aligned with real-world outcomes
• Prototype generative models against lead metrics
• Analyze model improvements and validation results
• Maintain compute and model development infrastructure
• Run inference and plan wet-lab testing campaigns
• Incorporate wet-lab feedback into models