Valence Labs is Recursion’s frontier AI research engine, leading high-impact research programs to enhance drug discovery for complex diseases. The Research Scientist will develop generative architectures and foundation models to improve molecular design and structural biology workflows, focusing on physics-informed frameworks and data-driven machine learning.
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