2026 Summer Intern - Translational AI Lab & Computational Biology and Medicine

2026 Summer Intern - Translational AI Lab & Computational Biology and Medicine

Department Summary

We seek a highly motivated candidate for an internship in Genentech's Translational AI Lab (TRAIL) in the AI for Biology and Translation (AIBT) department. The successful candidate will work closely with a team of computational biologists and machine learning scientists in AIBT and the department of computational biology and medicine (CBM) to develop and evaluate multi-modal frameworks for ML-driven target prioritization in inflammatory bowel disease (IBD). The work will be focused on integrating diverse biological evidence sources to bridge the gap between genetic target identification and therapeutic viability. A successful candidate for this role should have practical experience in deep learning, multi-modal machine learning integration, and state-of-the-art Python-based machine learning libraries. Ideal candidates would have a working knowledge of genomics and transcriptomic data (especially single-cell data), experience with variant effect prediction models, and familiarity with drug discovery pipelines and target qualification processes.

This internship position is located in the South San Francisco, onsite

The Opportunity

• Develop multi-modal frameworks for ML-driven target prioritization in IBD.

• Design scoring algorithms integrating contextual gene expression, variant pathogenicity, and druggability predictions.

• Present findings during internal review meetings and team collaborations.

• Contribute code to Target Qualification platform and shared codebases

Program Highlights

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

• Integration in department lab meetings

• Exposure to a range of jobs and research across Genentech

• Program start dates are in May/June

• 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

Who You Are

Required Education

Must be pursuing a PhD (enrolled student).

Required Majors

Computer Science, Computational Biology, or a related field.

Required Skills:

• Strong programming skills with practical experience working with multi-modal biological datasets (genomics, transcriptomics, protein data) and machine learning libraries such as PyTorch.

• Experience implementing and evaluating multi-modal machine learning models for biological data integration.

Preferred Knowledge, Skills, and Qualifications

• Experience working with GWAS data, eQTL analysis, or other genetic association studies.

• Experience with variant effect prediction models or sequence-to-function approaches.

• Familiarity with variant pathogenicity prediction tools and druggability assessment methods.

• Experience integrating diverse biological data types (protein embeddings, chemical descriptors, pathway annotations).

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

• Familiarity with pharmaceutical target validation and drug discovery processes.

• 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.