2025 Fall Intern - Biology Research | AI Development

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.

CBT is a department within gCS that focuses on developing and applying machine learning and computational methods to impact biological discovery, with the ultimate goal of impacting drug discovery and human health. We work collaboratively across disciplines both within and outside gCS.

We are searching for a motivated intern to work on designing, developing, and interpreting ML models of DNA and RNA to improve our understanding of gene regulation. The candidate will further our work on sequence modeling approaches that can be used to understand causal disease mechanisms.

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

The Opportunity

• The intern will research new ways to train or fine-tune models of DNA sequence on disease relevant genomics data, such as MPRA, ATAC-seq, ChIP-seq, and RNA-seq.
• They will apply and develop interpretation methods to understand what models have learned and will evaluate models' ability to accurately predict variant effects.

Program Highlights

• Intensive 12-weeks, full-time (40 hours per week) paid internship.
• Program start dates are in September 2025.
• 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 Education

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 $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.