Teams at Proxima

Lead strategic planning and execution for internal R&D programs, coordinating cross-functional ML, biology, chemistry, and proteomics teams. Build program governance, dashboards, and vendor/CRO oversight, synthesize technical signals for portfolio decisions, and support CROs, KOL/SAB engagement, and platform operations to accelerate AI-native proximity therapeutic discovery.

Lead research and design of large-scale deep learning systems for protein structure prediction and molecular glue design. Develop novel architectures and training paradigms, collaborate with chemistry/biology experts, publish at top ML venues, and apply models to drive drug discovery value.

Develop large-scale data pipelines, computational methods and ML models integrating evolutionary, structural and omics data; collaborate with chemistry, ML and experimental teams to validate predictions and enable AI-driven proximity-based drug discovery.