Valence Labs is Recursion’s frontier AI research engine, focusing on high-impact research to enhance drug discovery for complex diseases. They are seeking a Research Scientist to develop generative architectures and foundation models that apply machine learning to real-world biological discoveries, particularly in molecular design and structural biology workflows.
Responsibilities:
- Model Innovation: Research and develop state-of-the-art architectures (e.g., flow matching, diffusion models, geometric deep learning) tailored to modeling protein-ligand interactions
- Physics-ML Integration: Develop hybrid approaches that integrate co-folding, molecular dynamics (MD), and experimental potency data to achieve high-resolution accuracy on novel targets
- Scalable Engineering: Build and maintain ML systems capable of processing massive datasets, such as protein-ligand simulations, on high-performance compute clusters (BioHive)
- Biological Grounding: Ensure ML predictions are biologically trustworthy and actionable by collaborating closely with drug discovery teams to reduce cycle periods and dead ends in lead optimization
- Open Science & Collaboration: Publish findings in top-tier venues (e.g., NeurIPS, ICML, Nature, JACS) and contribute to the broader scientific community