Genentech discovers, develops, manufactures and commercializes treatments for patients with serious and life-threatening medical conditions. Backed by North Carolina Biotechnology Center.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Must be pursuing a Master's Degree (enrolled student)
- Must be pursuing a PhD (enrolled student)
- 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
More about this role
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.
- 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...
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