The Chief of Staff will support the CEO in operations and strategy, drive strategic decisions, facilitate leadership alignment, and manage cross-functional initiatives.

The role involves applying AI to drug discovery, leading model validation and deployment, and ensuring effective communication between research and experimental teams.

As an intern, you will lead research projects in cheminformatics and machine learning, developing new tools for drug discovery programs and working closely with experienced scientists.

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

As a Software Engineer in Core Infrastructure, you will maintain and expand multi-cloud infrastructure, automate deployments, and improve compute efficiency for drug discovery efforts.

The role involves conducting high-impact ML research on generative modeling of molecular systems, including leading projects, designing experiments, and presenting findings.

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.

As a Software Engineer Intern, you will help develop software tools for drug discovery using machine learning and computational methods, collaborating with engineers and chemists.

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 Head of Platform Engineering will lead a team in designing and operating infrastructure for AI-driven drug discovery, focusing on building reliable platforms for large-scale AI workloads.