2026 Summer Intern - Product Development Data Sciences, Digital Endpoints and Patient Centered Solutions

Genentech • Daly City, CA

1d • $50 - $50 • Onsite

About The Position

Product Development Data Sciences is a group of more than 1,000 data scientists across 5 global sites. We deliver data and insights about our medicine with excellence and passion. Our mission is to unlock the full potential of data, to accelerate innovative healthcare solutions for patients and society.
This internship position is located in South San Francisco, on-site.
Deep learning algorithm development: develop, refactor and evaluate deep learning models in a HPC / cloud computing environment with multi-modal data including clinical data and medical images. The algorithms serve direct relevance to ongoing clinical drug development needs in the ophthalmology therapeutic areas and beyond.
Data analytics: Developing code for processing or exploration of patient level clinical and image outcome data to derive insights.
Data engineering: Exploring efficiencies in data flow from raw to analysis ready data sets.
AI research: Suggesting and implementing new methodologies or improvements in machine learning and deep learning for data exploration and algorithm development to enable scientific reverse translation.
Program highlights:
Intensive 12-week, full-time (40 hours per week) paid internship.
Program start dates are in May/June 2026.
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 pharmaceutical biotechnology industry.
Professional & personal development curriculum throughout the program, including networking opportunities, workshops, and panel discussions.
Final presentations of project work to senior leaders.
Participate in volunteer projects, social events, and team-building activities.

Requirements

• Must be pursuing a Master's degree (currently enrolled).
• Must have attained a Master's degree no more than 2 years ago.
• Must be pursuing a PhD (currently enrolled).
• Required Majors: Computer Science, Biomedical Engineering, Data Science, Biotechnology or related fields.
• Experience in computer vision, medical image processing, generative models and/or foundation models applied to images / videos.

Nice To Haves

• Excellent communication, collaboration, interpersonal skills and team player; comfortable explaining complex technical topics to non-technical audiences.
• Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
• Intermediate programming ability in Python; familiarity with PyTorch is a plus.
• Experience with software development workflow including versioning and code collaboration with Git.
• Good knowledge of common CNN, vision transformer, vision foundation models and hands-on experience developing medical image deep learning models is a plus.
• Familiarity with clinical data and medical images a plus, ophthalmology disease area preferred.
• Experienced problem solver capable of seeking help when needed.
• Passion for learning and curious about drug development in the pharmaceutical biotechnology industry.

Responsibilities

• Deep learning algorithm development: develop, refactor and evaluate deep learning models in a HPC / cloud computing environment with multi-modal data including clinical data and medical images.
• Data analytics: Developing code for processing or exploration of patient level clinical and image outcome data to derive insights.
• Data engineering: Exploring efficiencies in data flow from raw to analysis ready data sets.
• AI research: Suggesting and implementing new methodologies or improvements in machine learning and deep learning for data exploration and algorithm development to enable scientific reverse translation.

Benefits

• Intensive 12-week, full-time (40 hours per week) paid internship.
• A stipend, based on location, will be provided to help alleviate costs associated with the internship.
• Professional & personal development curriculum throughout the program, including networking opportunities, workshops, and panel discussions.
• Paid holiday time off benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Number of Employees: 5,001-10,000 employees