Senior CADD Scientist

Posted 6 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
Senior level
Artificial Intelligence • Machine Learning • Biotech
The Role
The Senior CADD Scientist will drive drug discovery by utilizing AI-powered tools, collaborating with chemists, and ensuring effective communication across teams.
Summary Generated by Built In

Genesis Molecular AI is assembling a world-class computational chemistry team to revolutionize drug discovery through cutting-edge machine learning and biophysical simulation. We are seeking a Senior CADD Scientist to join our team, working directly with scientists  in our state-of-the-art wet lab and with our distributed computational chemistry and CADD science teams across the US.

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.

What you’ll bring

  • 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.

What we offer

  • 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.

Top Skills

Moe
Pymol
Schrodinger Suite
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The Company
HQ: Burlingame, CA
144 Employees
Year Founded: 2019

What We Do

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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