2027 Spring Intern - Data Science & Machine Learning

Department Summary

At Genentech, we are leveraging cutting-edge Artificial Intelligence to transform medical information delivery, commercial and clinical workflows, and patient impact. We are seeking a highly motivated Spring Intern – Agentic AI Discovery & Prototyping to join our Data Science & Machine Learning team.

In this role, you will work at the intersection of Generative AI, software prototyping, and system evaluation. You will research, rapidly prototype, and benchmark next-generation Agentic AI systems, ranging from specialized question-answering agents to multi-agent evaluation frameworks used across Generative AI initiatives. Because our work ultimately serves patients and healthcare professionals, a core pillar of your efforts will involve ensuring our agentic systems are safe, reliable, compliant, and aligned with rigorous healthcare standards.

The Opportunity

• Build, test, and refine functional prototypes for AI agent workflows tailored for interactive question-answering, search, and workflow automation.
• Design and implement a general-purpose evaluation framework to benchmark LLM outputs, agent reliability, tool calling, and reasoning accuracy across projects.
• Explore and implement guardrails to ensure AI agent outputs are safe, hallucination-resistant, compliant with regulatory standards, and aligned with strict patient safety and privacy guidelines.
• Develop clean, maintainable Python code to integrate LLMs with internal APIs, search tools, and structured data sources.
• Collaborate cross-functionally with engineers, data scientists, and domain stakeholders to gather requirements, iterate on feedback, and showcase prototype capabilities.
• Share your project findings, system architectures, and evaluation metrics to the broader team at the end of your internship.

Who You Are (Requirements)

Required Education: Must be pursuing a Master's Degree (enrolled student). Must be pursuing a PhD (enrolled student).

Required majors: Computer Science, Data Science, AI/ML, Biomedical Informatics, or a related quantitative field.

Required Skills

• Currently enrolled in a graduate degree program (e.g., Computer Science, Data Science, AI/ML, Biomedical Informatics, or a related quantitative field).
• Foundational proficiency in Python and standard software development best practices (version control/Git, writing modular code).
• Understanding of Large Language Models (LLMs) and core Generative AI patterns (e.g., prompt engineering, agentic workflows, or Retrieval-Augmented Generation).
• Awareness of AI safety principles, output reliability, and the importance of compliance in high-stakes environments like biotechnology and healthcare.

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.
• Academic projects or coursework involving LLM API integration or open-source AI frameworks (e.g., LangChain, LlamaIndex, or building with commercial/open-source APIs).
• Experience or strong interest in system evaluation, benchmarking, or testing (e.g., setting up test cases, evaluating model accuracy/consistency, or unit testing agent steps).
• Strong analytical problem-solving skills, curiosity, and an eagerness to experiment in a fast-paced environment.