2025 Summer Intern - gRED, Regev Lab

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

The Opportunity

Large scale genetic and chemical perturbation datasets are becoming increasingly available. Namely, perturb-seq and chemical screening datasets are expensive to generate which presents a need for computational approaches to reduce the cost burden. The Regev lab has a unique effort for building and evaluating machine learning approaches for inferring the effects of perturbations in unseen cell lines, or in cell lines with more limited data.

Program Highlights

• Full time for at least first 12 weeks (40 hours per week) paid internship.

• Program start dates are in May/June/July (Summer)

• 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 Degree (enrolled student)

Preferred majors

Computational Sciences or Machine learning

Required skills

• Machine learning background for generative modeling or imputation.

Preferred Qualifications

• Familiarity with building machine learning in a low data regime.

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location for this position in 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, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.