Senior CADD Scientist
Listed on 2026-01-23
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Science Manager, Data Scientist
What You Will Do (Key Responsibilities)
- Utilize a combination of industry-standard and proprietary AI-powered CADD tools to guide small molecule drug discovery programs across a diverse target portfolio, including novel targets with limited chemical precedents.
- Use approaches like virtual screening, molecular simulation, and potency and ADMET prediction to support key decision-making in drug discovery efforts.
- Collaborate closely with medicinal chemists in molecular design and the development of project-specific computational approaches.
- Act as a cross-team connector, effectively communicating between our computational chemistry and medicinal chemistry teams to ensure seamless information flow and collaborative decision making.
- Adapt to a fast-paced environment where innovation and quick iteration are encouraged.
- PhD in Computational Chemistry, Structural Biology, or a related field. This particular role may also be suitable for PhD-level scientists with degrees in organic or medicinal chemistry with extensive experience in the lab, who have transitioned into industry roles in CADD.
- Deep understanding of structure-based drug design and protein-ligand interactions.
- Proficiency with industry-standard CADD tools such as MOE, PyMOL, and Schrodinger Suite.
- Minimum of 2+ years of industry experience as a CADD scientist in pharma or biotech, with hands-on experience in active drug discovery programs.
- Onsite in our San Diego lab is preferred for this role, to be able to collaborate with our scientists. We are open to remote team members too.
- Competitive Pay
- Health Care Plans (including Medical, Dental, and Vision, fully covered for the employees)
- Stock Option Eligibility
- 401(k) Plan
- Open PTO Policy
- Paid Company Holidays
- Subsidized lunch and snacks at our offices
Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. The company’s generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Genesis has raised over $300 million from leading AI, tech and life science-focused investors, signed multiple AI-focused research collaborations with major pharma partners, and is deploying GEMS to advance an internal therapeutics pipeline for a variety of high-impact targets.
Genesis is headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.
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