Computational Chemistry Intern - 2026
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
Offer value
Similar to the previous internship, this position offers significant opportunities for learning and application in drug discovery.
- Involvement in impactful drug discovery research
- Clear pathways for mentorship and skill development
- Hands-on application of computational chemistry
- Internship roles may have limited financial compensation
Pros
- Engagement with real-world drug discovery projects
- Strong mentorship and collaborative team environment
- Application of advanced methodologies in a practical setting
Cons
- Internship compensation might be limited
- Expectation of significant deliverables under tight timelines
- Background knowledge in chemistry is essential
Who it's for
Internship • On-site
Good fit
- Motivated graduate students interested in research
- Early-career scientists wanting team experiences
- Collaborative individuals seeking real-world applications
Not recommended for
- Undergraduates lacking sufficient exposure
- Candidates looking for immediate job stability
- Individuals preferring solitary work environments
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.
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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.
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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.
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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
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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.
