Publisher
source

Genentech Inc

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 flag

Country

United States

University

Genentech Inc

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Keywords

Computer Science
Machine Learning
Biology
Artificial Intelligence
Computational Biology
Active Learning
Large Language Models

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.

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