Jobs at Genesis Molecular AI

Develop and apply methods at the intersection of 3D molecular simulation and ML: build geometric and equivariant ML models, integrate physics-based and data-driven approaches, design and run MD and enhanced sampling simulations, perform free energy calculations, improve generative and scoring capabilities on the GEMS platform, and collaborate with CADD and discovery teams to advance drug discovery.

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.

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.

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

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 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 Staff Technical Recruiter will manage full-cycle hiring for the AI/ML organization, focusing on sourcing top talent, improving recruiting processes, and building relationships within academia.