2025 Summer Intern - AI Machine Learning

2025 Summer Intern - AI Machine Learning

Department Summary

We seek a highly motivated research intern to join the Small-Molecule Machine Learning for Drug Discovery Team at Prescient Design, within Genentech Research and Early Development (gRED). As a successful candidate, you will develop and apply novel machine learning methods to molecular design with the ultimate goal of drug discovery. Our team fosters a collaborative approach that stimulates innovative thinking and the potential for creative breakthroughs at the forefront of ML research.

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

The Opportunity

• You will develop machine learning methods for the analysis of molecular data and processes, with a focus on small molecules.

• Collaborate closely on machine learning projects for drug discovery with machine learning scientists, research engineers, computational biologists, chemists, and biologists.

• Develop and execute a research agenda focused on machine learning for drug discovery.

• Design, implement, and evaluate machine learning models.

• Report and present research findings and developments including status and results clearly, verbally and in writing (publishing in top-tier ML venues).

Program Highlights

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

• Program start dates are in May/June (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) 

Required Education:

• Must be pursuing a PhD (enrolled student).

Required Majors:

• Machine Learning, Computer Science, Chemical Engineering, Chemistry, Computational Biology, Applied Mathematics, Statistics, or Physics.

Required Skills:

• Basic understanding of chemistry.

• Proficiency with Cheminformatics.

• Machine learning expertise (preferably with PyTorch).

• Fluent in Python and experience with modern Python frameworks for deep learning (e.g. PyTorch or TensorFlow)

• Interest in at least one of: drug optimization or discovery, chemical properties prediction, generative AI for molecular design.

Preferred Knowledge, Skills, and Qualifications

• Excellent communication, collaboration, and interpersonal skills.

• Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.

• Strong research interest in drug optimization and discovery, chemical properties prediction.

• Demonstrated computational research experience, as evidenced by publications, public code repositories, or equivalent.

• Experience with one or more cheminformatics or drug discovery toolkits (e.g. OpenEye, Schrodinger, RDKit, OpenBabel).

• Experience working with large chemical and biological datasets, including graph, sequence, and structure-based data.

• 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 for this position based on the primary location of  California is $50.00 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.

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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.