Summary 

At Genentech Research & Early Development (gRED) we have initiated an exciting journey to bring together and further strengthen our computational talent and capabilities by forming a new, central organization - gRED Computational Sciences (gCS).  gCS is on a mission to partner across the organization to realize the potential of data, technology and computational approaches that will revolutionize how targets and therapeutics are discovered and developed, ultimately enabling novel treatments for patients across the world.  We stand at the beginning of this exciting journey.

The Infrastructure and Architecture group within gRED Computational Sciences (gCS) is seeking a graduate intern passionate about machine learning, generative AI, and NLP to help design and deliver a minimum viable product (MVP) that leverages AI to transform resource and space management for the gRED Research Operations team.

As an intern, you will work closely with the gRED Research Operations team, including resource and space management leaders, to tailor AI solutions that enhance decision-making and productivity. You will also collaborate with engineers, product managers, and other stakeholders to ensure the MVP aligns with business goals and drives meaningful outcomes.

This MVP will integrate AI-driven insights into an existing workforce and space management tool to:

Provide data-driven recommendations for resource allocation and space planning.

Offer predictive analytics to forecast future needs.

Improve operational efficiency by delivering personalized, actionable insights through an intuitive interface.

This is a unique opportunity to contribute to a project at the intersection of AI and operations, focusing on resource optimization and space planning for Genentech’s Research group. Your work will directly support gRED Research Operations by enhancing their ability to make informed, data-driven decisions. If you’re excited about applying AI to solve real-world business challenges and driving operational excellence, we’d love to hear from you!

The internship position is located on-site at our South San Francisco, CA, campus.

The Opportunity

Design and implement infrastructure for backend data collection, storage, and processing.

Gather and analyze relevant data from existing database architectures.

Identify and integrate AI tools to generate business insights for workforce and space management.

Train, test, and refine machine learning models to support decision-making for the gRED Research Operations team.

Employ Prompt Engineering techniques to optimize AI model performance.

Build or integrate a user-facing interface (either as part of the current platform or a standalone solution).

Conduct performance testing to validate AI models against business requirements.

Program Highlights

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

Program start dates are in May.

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: You meet one of the following criteria:

Must have attained a Bachelor's Degree (not currently enrolled in a graduate program).

Must be pursuing a Master's Degree (enrolled student).

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Skills:

Strong programming skills in Python, R, or Java.

Experience with ML frameworks such as TensorFlow or PyTorch.

Proficiency in data preprocessing, cleaning, and working with large datasets using tools like Pandas, NumPy, and SQL.

Solid understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and deep learning techniques.

Familiarity with Prompt Engineering and techniques for optimizing AI-generated outputs.

Required Majors: Ideally, the candidate would have completed or is pursuing a major in Computer Science, Statistics, Applied Mathematics, or a related field.

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.

Self-driven and goal-oriented.

Relocation benefits are not available for this job posting. 

The expected salary range for this position based on the primary location of  California is $45-$50 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.