2025 Summer Intern - Biology Research | AI Development (BRAID)
Department 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.
We are seeking a highly motivated ML Research Intern to collaborate with a diverse group of machine learning experts, computational biologists, and software developers within the Cell State and Organization team. Our team is dedicated to pioneering AI/ML models that extract actionable insights from extensive internal scRNA-seq data collections and other datasets, driving target discovery and informing clinical development decisions.
This internship position is located in South San Francisco, on-site.
The Opportunity
Apply commercial large-language models (LLMs) to develop an Agent that integrates biological analyses and other data for therapeutic target discovery and validation.
Design benchmarks to assess model effectiveness across various use cases.
Work alongside other members of the BRAID department with expertise in genomics and AI, including ML scientists, computational biologists, and other stakeholders across the company.
Utilize proprietary internal datasets not available publicly, gaining real-world pharmaceutical research experience for pipeline-focused projects in the pharmaceutical industry.
Program Highlights
Intensive 12-weeks, full-time (40 hours per week) paid internship.
Program start dates are in May/June
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: Computer Science, Statistics, Mathematics, Computational Biology, Immunology, or a related field.
Required Skills:
Strong foundation in machine learning, data science, and statistics.
Proficiency in Python and experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
Familiarity with basic concepts in biology.
Interest in early therapeutic discovery and development.
Preferred Knowledge, Skills, and Qualifications
Track record of tackling challenging biological problems with advanced computational methods.
Knowledgeable about good software development practices (code version control, high-performance compute infrastructures, and machine learning experiment monitoring workflows)
Hands-on experience with LangChain or similar frameworks for LLMs.
Excellent communication, collaboration, and interpersonal skills.
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 range for this position based on the primary location of STATE is $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.
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.