Lead full-cycle recruiting for AI research scientists, computational biologists, and drug discovery leads. Build candidate pipelines and design screening frameworks to identify exceptional talent at the intersection of AI and biology.
Develop and train machine learning models to optimize molecular generation for practical chemical synthesis. Build scalable computational tools and cheminformatics pipelines to evaluate synthetic feasibility and prioritize drug candidates.
The role involves constructing and expanding high-quality training datasets for biological reasoning models using molecular principles. You will design benchmarks and data strategies to ensure models learn meaningful biological capabilities rather than statistical shortcuts.
