2025 Summer Intern – Biology Research | AI Development and gCS Immunology Full-time

Department Summary

At Genentech Research & Early Development (gRED) we have initiated an exciting journey to bring together and further strengthen our computational talent and capabilities by forming a new, central organization – gRED Computational Sciences (gCS). gCS is on a mission to partner across the organization to realize the potential of data, technology and computational approaches that will revolutionize how targets and therapeutics are discovered and developed, ultimately enabling novel treatments for patients across the world. We stand at the beginning of this exciting journey.

This position will be jointly hosted by BRAID (Biology Research | AI Development) and Computational Biology for Immunology and Regenerative Medicine. In collaboration, these two departments are working to apply recent developments in AI/ML methods to practical problems in disease biology and target identification.

This internship position is located inSouth San Francisco, on-site

The Opportunity

• The application of foundation models of regulatory DNA and protein function for predicting the impact of rare variants on patient phenotypes and evolutionary processes
• Interpretation of foundation models of regulatory DNA to identify factors driving cell fate specification and (potentially) cell type translating.

Program Highlights

• Intensive 12-weeks, full-time (40 hours per week) paid internship.
• Participation in department meetings and journal clubs
• Program start dates are in May/June 2025 (Summer).
• A stipend 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.

Who You Are (Required)

• You must be pursuing a PhD (enrolled student)

Required Majors: Bioengineering, Computer Science or Engineering, Data Science or related fields.

Required Skills:

• Experience with popular regulatory genomics models such as Borzoi, Enformer or BPnet; DNA/RNA language models; or models of RNA activity.
• Proficiency in Python and experience with frameworks for machine learning inference (e.g. Pytorch, TensorFlow, Lightning).
• Familiarity with fundamental ML concepts and interpretation techniques such as transformers, saliency maps, DeepLIFT/DeepSHAP.
• Previous educational exposure to basic concepts in cell biology and gene expression.

Preferred Knowledge, Skills, and Qualifications

• 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 of California is $45-50.00 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.

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