2027 Future Talent Program - AI/ML Biomedical Imaging and Computational Pathology - Intern

Description

The Future Talent Program sits in the Research & Development Division's Data, AI, and Genome Sciences (DAGS) Department and offers internships of 10 to 12 weeks.

The open role is in the AI/ML imaging group, focused on biomedical imaging and computational pathology.

The team builds new AI methods that speed up drug target and biomarker discovery, and the intern will help develop next-generation computational approaches for imaging and pathology.

The internship lets you work on a live project, build your skills, and judge whether the company suits your long-term goals.

The company is looking for students who are driven and strong in computation.

The company may close this posting before the listed end date or keep it open longer.

Responsibilities

• Build and apply foundation model-based AI methods that pull biologically meaningful, generalizable representations from histopathology images and spatial omics.
• Design interpretable methods that describe model representations using biological features such as morphological patterns and tumor microenvironment structure.
• Combine image-derived features with patient outcome and molecular data to help generate biological hypotheses and find biomarkers.
• Work with a mixed team of data scientists, computational pathologists, biologists, and translational researchers.

Requirements

• Be currently enrolled in a PhD program in computer science, AI/ML, computational biology, biomedical engineering, bioinformatics, statistics, or a closely related field.
• Be available to work full-time for 9 to 12 weeks, starting in May or June 2027.
• Be proficient in Python and modern deep learning frameworks such as PyTorch.
• Communicate clearly, interact well with others, and work effectively in a collaborative team.
• Preferred: familiarity with one or more of computer vision, natural language processing, representation learning, foundation models, interpretable or explainable AI, and generative AI.
• Preferred: experience with biomedical or scientific data, such as medical imaging, genomics, spatial omics, or clinical datasets.
• Preferred: a record of scientific communication, such as publications or conference presentations.

Conditions

Salary range is $39,908 to $111,111.

This is a fixed-term intern or co-op position with hybrid work arrangements.

No relocation support is offered, no visa sponsorship is provided, and no travel is required.

Shift is not specified, and a valid driver's license is not required.

No hazardous materials are involved.

Requisition codes are FTP2027 and RL2027.

Open only to residents of the US and Puerto Rico.

Current employees and contingent workers apply through their internal channels.

Applications close on 11/27/2026, and the posting is effective until 11:59:59 PM on 11/26/2026.

The company is committed to an inclusive, equal-opportunity process and offers accommodations on request, and San Francisco applicants with arrest or conviction records are considered under the San Francisco Fair Chance Ordinance.

Search firms without a valid written agreement for this role should not submit candidates, as unsolicited CVs become company property and no fee applies.