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

The Opportunity

Multimodal perturbation datasets are becoming increasingly large and available. Namely, OPS with phenotyping and perturb-seq datasets require representation learning that can extract the maximal perturbation specific effects. The Regev lab has generated a large multimodal dataset. We have interest in representation learning that identifies sources of shared variation and unique variation for each modality.

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 representation learning.

Preferred Qualifications

Familiarity with matrix decomposition.

Relocation benefits are not available for this job posting.

The expected salary 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.