Internship in cheminformatics and machine learning at Genesis Molecular AI, driving drug discovery projects and improving internal tools.
GA
Genesis Molecular AI
Currently Hiring
About the company
Genesis Molecular AI – headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego and offices in New York – is pioneering foundation models for molecular AI to unlock a new era of drug design and development.
We are using a proprietary state-of-the-art generative and predictive AI platform called GEMS (Genesis Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery.
The GEMS platform integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction.
GEMS accelerates hit ID through lead optimization and candidate selection by generating promising molecules for synthesis and experimental testing, and iterating this process through cycles of AI-enabled discovery and optimization.
We have leveraged GEMS to build an internal pipeline with multiple programs against high-value targets, including data-poor and canonically undruggable targets where GEMS is uniquely advantaged.
In addition, Genesis has signed AI platform collaborations across a range of therapeutic areas including Gilead (2024), and Incyte (2025).
Genesis has raised over $300M in funding from top AI, technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T.
Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA's VC arm), BlackRock, and Menlo Ventures.
To learn more about Genesis Molecular AI, or current employment opportunities, please visit our website.
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8 jobs found
Binding free energy specialist developing and optimizing methods to enhance drug discovery. Collaborating with teams to drive project decisions and improve existing workflows.
Head of Platform Engineering managing the AI infrastructure for drug discovery at Genesis Molecular AI. Leading a team to build reliable platforms for training and deploying AI models.
ML Research Engineer focused on R&D of AI foundation models at Genesis Molecular AI. Collaborating across disciplines to advance drug discovery technologies.
ML Research Scientist leading transformative research in foundation models for AI in drug discovery. Collaborate with multidisciplinary teams to shape groundbreaking models and insights.
Product Management Lead in AI at Genesis Molecular AI, advancing drug discovery processes through AI and machine learning. Collaborating across technical domains to drive impactful product strategies.
Senior Software Engineer at Genesis Molecular AI solving drug discovery problems through software development and computational chemistry. Collaborating with AI and chemistry teams to optimize drug molecules.
Software Engineer focusing on ML infrastructure for drug discovery at Genesis AI. Leading engineering efforts to enhance scalable platforms for generative modeling and large - scale simulations.