Jobs at Genesis Molecular AI

Coordinate the end-to-end recruiting process, including interview scheduling, candidate visits, travel logistics, onboarding support, communications, and confidential data management. The role partners with executive assistants and hiring teams, uses Ashby and other recruiting tools, responds to inquiries, and improves talent acquisition processes. This is a six-month, 20-hour-per-week contract with potential extension.

Support commercial strategy and execution for AI-enabled pipeline programs through market analysis, primary and secondary research, competitive monitoring, input into target product profiles and clinical plans, and cross-functional collaboration. Report to Director of New Product Planning. Based in San Diego; travel ~10%.

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.

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.