2025 Summer Intern - gRED, Regev Lab

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

The Opportunity

• Design and fine-tune AI agents for scientific tasks, optimizing their performance on domain-specific problems such as analyzing biological data or interpreting experimental results.

• Leverage large-scale pre-trained models and adapt them to tasks requiring advanced reasoning, including hypothesis generation and data integration.

• Implement domain adaptation techniques to enhance the agent's ability to process multimodal scientific data (e.g., genomics sequences, microscopy images).

• Evaluate agent performance using domain-relevant metrics, focusing on interpretability, accuracy, and scientific impact.

Program Highlights

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

• Program start dates are in May (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).

Required Majors

Computational Sciences

Required Skills

• Experience with data driven method development.

• Familiarity with time series data and dynamical process modeling.

• Knowledge and experience with deep learning frameworks.

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 - $XX.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.