Department Summary

Genentech, a leader in biotechnology, is seeking an outstanding machine learning intern to contribute to cutting-edge research at the Deep-Learning Theory and Algorithms (DELTA) lab within the Biology Research | AI Development (BRAID) department. Our lab is dedicated to advancing machine learning research to support drug discovery and target discovery efforts, with a focus on foundation models and representation learning, particularly in the realms of graphs, sequences, and multimodal data. We are committed to driving innovation through cutting-edge ML methods with real-world impact in the drug discovery field.

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

Key Responsibilities

• Research, design, and implement novel, cutting-edge research in ML with applications to drug discovery and target discovery.

• Drive research on foundational AI methods for scientific problems, with a specific focus on foundation models and representation learning.

• Collaborate closely with cross-functional teams across Genentech to tackle complex biological problems.

• Contribute to and lead publications, presenting results at internal and external scientific conferences, and making code and workflows open source.

Program Highlights

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

• Program start dates are in September(Fall).

• 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

• Education: Must be pursuing a PhD (enrolled student) where your core focus is on machine learning, artificial intelligence, computational theory, or a related field.

• Required majors: Computer Science; Computer Engineering; Machine Learning; Data Science; Computational Biology.

• Strong publication record at top-tier ML venues such as NeurIPS, ICML, ICLR, etc.

• Excellent knowledge of the theory and practice of deep learning.

• Familiarity with representation learning and/or generative methods.

• Excellent programming skills in PyTorch.

• Strong communication and collaboration skills.

Preferred Qualifications

• Experience in designing, training, extending, or applying foundation models and large-scale models.

• Experience in developing and applying representation learning methods (e.g., generative, contrastive, graph-based, etc.).

• Familiarity with biological problems such as single-cell biology, sequence design, perturbation biology, and/or target discovery, and related data types.

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.