2026 Summer Intern - AIBT

Genentech • South San Francisco, CA • 3h ago

The Position

Department Summary

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.

Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new computational sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.

This internship is located in South San Francisco, California On-Site.

The Opportunity

We are searching for a motivated summer intern to work on evaluating the generalization performance of foundation models for transcriptomic prediction using large-scale perturb-seq data. The intern will implement a systematic benchmarking framework to assess how models perform on two critical challenges: predicting gene expression responses for previously unseen gene perturbations and transferring predictions across across cellular @contexts.

Program Highlights

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

Program start dates are in May/June 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

Statistics, Computational Biology, Bioinformatics, Computer Science, or related fields.

Required Skills

Proficient in coding with Python.

Deep knowledge of statistical principles, linear algebra, and regression analysis.

Previous experience working with genomic data, especially single-cell data, is highly desirable.

Preferred Knowledge, Skills, and Qualifications

Good understanding of cancer biology, and signaling pathways.

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 the state 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 (https://docs.google.com/forms/d/e/1FAIpQLSdZWlsbfQOvFVIQgHE_iDzWUTlhZvj6FytIzjS7xq6IGh1H5g/viewform) .

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