Machine Learning Scientist

Position Summary

The AlQuraishi Lab in the Departments of Systems Biology and Computer Science at Columbia University is seeking a Machine Learning Scientist with a focus on deep learning models for biomolecular systems and drug discovery. Projects span development and training of new neural network architectures, design of active learning experiments in conjunction with experimental collaborators, derivation of scaling laws for biomolecular systems, and other topics. All projects involve interactions with team members in the AlQuraishi lab as well as academic and industry partners in three major consortia : OpenFold, AISB (AI Structural Biology Network), and OpenBind.

Responsibilities

High-level (dependent on specific scientific project) :

• Design and train state-of-the-art neural network architectures for biomolecular systems, including prediction of protein-ligand, protein-protein, and antibody-antigen structures and affinities, and protein conformational ensembles.
• Design active learning algorithms and experiments to steer large-scale data acquisition campaigns focused on improving biomolecular models.
• Devise experiments to understand scaling behavior of biomolecular models.
• Curate and prepare datasets, and develop dataset processing algorithms, for in-acquisition and proprietary datasets, including in federated training settings.

Day-to-day :

Minimum Qualifications

Preferred Qualifications