About the role#
This internship is a chance to work as a full member of our research team. You will drive a research project focused on generative modeling for molecular systems. You will be paired with a mentor to work on high-impact research at the frontier of generative AI. Your work will involve developing advancements for foundation models, with potential projects in diffusion models, reinforcement learning, or multi-modal learning.
What you'll do#
- Lead a research project from ideation to conclusion.
- Focus on a critical challenge in generative or predictive AI for molecular systems.
- Engage with literature on foundation models to push the research frontier.
- Develop new methods in areas such as diffusion or reinforcement learning.
- Design and run experiments at scale to test hypotheses.
- Present your work to the team and contribute insights to our research agenda.
What you'll need#
- Current enrollment in a PhD program in Computer Science, Machine Learning, or a related field.
- A strong background in machine learning and deep learning.
- Ability to think from first principles when tackling open-ended scientific problems.
- Curiosity about the intersection of AI and biochemistry.
- Interest in learning about the drug discovery process.
Location & details#
- Term: Summer 2027.
- Locations: New York, NY or California.
- Modality: On-site.
- Employment: Full-time internship.
- This is a paid position.
About Genesis Molecular AI
Genesis Molecular AI operates as a biotechnology research firm focused on the development of molecular artificial intelligence models. The company maintains its headquarters in Burlingame, California, with additional laboratory space in San Diego and offices in New York. It employs a proprietary platform called GEMS to assist in small molecule drug discovery. The organization has secured over $300 million in funding to support its internal research pipeline and various therapeutic collaborations.
How to get in at Genesis Molecular AI
Applying early is a distinct advantage at Genesis Molecular AI, as recruiters often review candidates before the applicant pool grows too large. Intern Insider sends an instant alert the moment a role matching your target is published, helping you secure a spot at the front of the line. It is a simple way to stay ahead of the curve while you focus on your research projects. You can also improve your response rates by reaching out to the recruiters behind these roles directly to ask about the team or a potential referral. Intern Insider surfaces the specific people managing these openings, allowing you to bypass the standard queue. Connecting with a human recruiter shows you have done your homework and are genuinely interested in their drug discovery work.
