Genentech Inc
1 month ago
PhD Research Internship in LLMs, Agents, and Biological Sequence Design Genentech in United States
Degree Level
PhD
Field of study
Computer Science
Funding
No explicit funding details are provided. As a research internship at Genentech, compensation is likely but not specified in the post.
Deadline
Oct 1, 2026
Country
United States
University
Genentech Inc

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About this position
Genentech is seeking PhD students for a Summer 2026 research internship focused on the intersection of large language models (LLMs), agents, active learning, and biological sequence design. This opportunity is ideal for students interested in artificial intelligence, machine learning, and computational biology, with a strong emphasis on research and innovation. The internship will provide hands-on experience in applying advanced AI techniques to biological problems, contributing to cutting-edge projects at Genentech, a leader in biotechnology research.
Applicants should be current PhD students with demonstrated research experience in relevant fields such as LLMs, agents, active learning, or biological sequence design. Preferred candidates will have a background in artificial intelligence, machine learning, or computational biology. The position does not specify GPA or language test requirements, but a strong research focus is essential.
While the post does not detail funding, research internships at Genentech are typically compensated. The application window is open for Summer 2026, with applications accepted online. Interested candidates should review the position details and apply through the provided link. For further information or questions, applicants may contact Ehsan Hajiramezanali, Principal AI Research Scientist at Genentech, via LinkedIn.
Funding details
No explicit funding details are provided. As a research internship at Genentech, compensation is likely but not specified in the post.
What's required
Applicants should be current PhD students with a strong research focus in areas such as large language models, agents, active learning, or biological sequence design. Relevant experience in artificial intelligence, machine learning, or computational biology is preferred. No specific GPA or language test requirements are mentioned.
How to apply
Apply through the provided application link. Review the position details and submit your application online. Ensure your research interests align with the focus areas. Contact the supervisor via LinkedIn if you have questions.
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