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The role involves leading engineering efforts for ML infrastructure, optimizing distributed training, and enhancing AI platform efficiency in drug discovery.

Lead product management efforts at Genesis Molecular AI by defining product roadmaps, collaborating across teams, and ensuring execution of projects in drug discovery.

Develop and maintain a full-stack platform for computational chemists, focusing on drug discovery through machine learning and data infrastructure. Collaborate with interdisciplinary teams to enhance software tools for visualizing molecules and managing workflows.

The role involves advancing free energy methods in drug discovery, optimizing protocols, coding tools, and collaborating with cross-functional teams. Responsibilities include managing binding free energy calculations and ensuring method efficacy for project decisions.

The role involves leading partnerships and negotiations with AI infrastructure providers and managing AI compute investments while optimizing resource allocation and financial models.