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Job Description & How to Apply Below
In this role, you will focus on developing generative models that leverage physical principles for precise predictions in structural biology. As an essential member of a collaborative team, you'll work closely with medicinal chemists and biophysicists, addressing intricate challenges that improve drug discovery processes. Your work will also involve contributing to significant publications.
Key Responsibilities:
• Research models for advanced protein-ligand interactions
• Develop ML systems leveraging experimental and MD data
• Maintain high-performance computing for large dataset analysis
• Ensure ML applications are grounded in real-world scenarios
• Publish findings contributing to open science
Requirements:
• PhD in a relevant field with substantial research experience
• Strong foundations in physics and chemistry
• Proven experience with generative and equivariant models
• Proficient in Python for pipeline operations
• Excellent collaboration and communication skills
Drive the future of drug discovery with your expertise in molecular design and deep learning at Valence Labs.
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