2026 Summer Intern - Biological Research - AI Development

2026 Summer Intern - Biological Research - AI Development

Department Summary

We seek a highly motivated research intern to join Genentech's Biology Research AI Development (BRAID) team. At BRAID, we develop machine learning methods for various applications in research biology and target discovery. The successful candidate will work closely with a team of machine learning scientists and computational biologists to evaluate and develop foundation models for transcriptomic sequencing data. The work will be focused on causal in-context gene-regulatory network inference, with applications in oncology research. A successful candidate for this role should have practical experience in deep learning, language models, and state-of-the-art Python-based machine learning libraries. Ideal candidates would have a working knowledge of biological sequencing data (especially single-cell data), experience in causal inference, and experience with biological foundation models.

This internship position is located in South San Francisco, on-site.

The Opportunity

• Investigate single-cell foundation model pretraining objectives and confounding factors.

• Develop novel pretraining objectives for single-cell foundation models to minimize confounding. Train and evaluate models on public and internal data.

• Summarize and present findings during internal peer review meetings.

• Contribute code to internal shared codebases.

• Submit findings to relevant conferences and/or journals.

Program Highlights:

• Intensive 12-weeks, full-time (40 hours per week) paid internship.

• Program start dates are in May/June 2026.

• A stipend, based on location, will be provided to help alleviate costs associated with the internship.

• Ownership of challenging and impactful business-critical projects.

• Work with some of the most talented people in the biotechnology industry.

• Present work to senior leaders and implement models in organizational pipelines.

• Lead or participate in intern committees to design and coordinate program events and initiatives.

• Professional and personal development curriculum throughout the program, including networking opportunities, workshops, and panel discussions.

Who You Are

Required Education: Must be pursuing a PhD (enrolled student).

Required Majors: Computer Science, Computational Biology, Mathematics, Statistics, or other computational fields.

Required Skills:

• Prior experience publishing in top machine learning conference proceedings (e.g ICLR, ICML, NeurIPS) and/or appropriate journals.

• Strong programming skills with practical experience working with large datasets and machine learning libraries, such as PyTorch.

• Experience implementing and evaluating deep learning models.

• Experience in developing and/or using large language models.

• Familiarity with causal inference.

Preferred Knowledge, Skills, and Qualifications

• Strong background in causal inference, with demonstrable research projects.

• Experience working with single-cell sequencing or other biological sequencing data.

• Experience working with biological foundation models.

• Knowledge of best practices for machine learning engineering (version-control, distributed training, etc.).

• Excellent communication, collaboration, and interpersonal skills.

• Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location ofCalifornia is $50.00 per hour.Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.