Computational Chemistry Intern - 2026
Content + Source + Freshness • 16 Dec 2025 • 95% confidence
Offer value
Strong potential for aspiring chemists looking to enter the field with developmental support and real-world applications.
- Access to cutting-edge drug discovery projects
- Strong mentorship and professional development
- Opportunities for hands-on experience in computational chemistry
- Internship role may have financial limitations
Pros
- Hands-on experience with cutting-edge technology
- Mentorship from seasoned professionals
- Real impact on drug discovery processes
Cons
- Internship positions often have limited financial compensation
- Potential for high workloads with tight deadlines
- Applicants must already have some foundational knowledge in the field
Who it's for
Internship • On-site
Good fit
- Graduate students passionate about chemistry
- Early-career scientists looking for practical experience
- Collaborative workers eager to contribute to research
Not recommended for
- Undergraduates without sufficient knowledge
- Individuals seeking immediate full-time roles
- Those preferring to work without collaboration
Motivation fit
Key skills
About the job
Location
Burlingame, CA
Employment Type
Intern
Department
AI
Deadline to Apply
January 10, 2026 at 2:00 AM EST
Genesis Molecular AI is bringing together a world-class computational team to build out the industry's fastest and most accurate small molecule property predictions, by combining the power of machine learning and physics-based methods. We are seeking early career scientists skilled in developing and applying computational chemistry and physics methodologies to help drive forward our challenging drug discovery programs.
You will
Develop and refine advanced computational chemistry and physics methodologies to help solve pressing challenges in our internal drug discovery programs
Collaborate with our machine learning team on hybrid physics/ML methods for predicting structure, potency, and other properties relevant to drug discovery.
-
Work closely with our computer-aided drug discovery scientists and medicinal chemists to develop, benchmark, and deploy improvements to our drug discovery platform as it is applied to our internal and partnered drug discovery programs.
You are
A graduate student with a proven track record of applying or developing computational chemistry and physics methods.
Passionate about building methods to solve real problems.
-
A skilled programmer, preferably in Python, such that you can quickly implement your research ideas and analyze their performance.
What we offer
The opportunity to work on challenging, high impact computational chemistry research that is immediately deployed to accelerate the discovery of new medicines.
A world-class, tight-knit team of good-hearted people across software, machine learning, computational chemistry, medicinal chemistry, and biology.
Competitive salary and equity. Medical, dental, and vision insurance, and a 401(k) program.
-
One-on-one mentor to help guide your research and act as a point person for questions.
Application & Hiring Timeline
Application Deadline: January 9, 2026
Resume Review: Beginning January 12, 2026
Interviews Kick-Off: January 26, 2026
-
Target Start Date: May–June 2026
About Genesis Molecular AI
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.
