Summary

Principal computational scientist focused on evaluating foundation models and applying machine learning to genomics and drug development. The role combines scientific leadership, model evaluation, and collaboration on discovery workflows; the work arrangement is not specified.

Responsibilities

• Evaluate foundation models for biological use cases
• Translate models into drug discovery workflows
• Guide model evaluation across applied research
• Shape scientific roadmaps for genomics projects
• Mentor junior computational science colleagues
• Partner with product and business development