2026 Summer Intern - Translational Pharmacokinetics/Pharmacodynamics jobs in United States
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Genentech · 3 hours ago

2026 Summer Intern - Translational Pharmacokinetics/Pharmacodynamics

Genentech is a leading biotechnology company, and they are seeking a Summer Intern in the Translational Pharmacokinetics/Pharmacodynamics department. The intern will work on developing AI agents to enhance drug discovery processes, focusing on automating complex modeling through advanced computational frameworks.

BiotechnologyLife ScienceManufacturing
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Architect Advanced Agentic Workflows: Engineer and extend a proprietary multi-agent framework designed to translate natural language into executable mechanistic code. You will focus on improving the agent's reasoning capabilities, context retrieval, and code generation accuracy
Rigorous Benchmarking & Validation: Design a robust evaluation framework to stress-test the AI agents. You will validate generated QSP models against ground-truth data and historical case studies, quantifying the system’s ability to handle complex therapeutic modalities and ensuring mathematical correctness
Tool Democratization & Deployment: Bridge the gap between prototype and product. You will design and deploy intuitive, scalable interfaces (e.g., Dash/Streamlit web apps) that allow M&S scientists to leverage these AI agents in their daily workflows
Scientific Impact & Collaboration: Act as a bridge between fields. You will present your findings to cross-functional teams, synthesizing feedback to refine the agents and demonstrating how autonomous modeling can directly accelerate Genentech’s drug development pipeline

Qualification

Advanced Agentic SystemsCore Engineering & PythonLLM FrameworksReinforcement LearningFull-Stack PrototypingTranslation SkillsAutonomyCommunicationCollaboration skillsInterpersonal skills

Required

Must be pursuing a Master's Degree (enrolled student)
Must have attained a Master's Degree
Must be pursuing a PhD (enrolled student)
Scientific Computing, Computer Science, Bioinformatics, Chemical Engineering, Applied Mathematics, or related fields with a strong focus on computational modeling
Demonstrated experience architecting and building multi-agent systems
Deep working knowledge of orchestration frameworks (LangGraph, AutoGen, or similar), managing graph state, memory persistence, and implementing complex tool-calling/function-calling logic
Elite proficiency in Python with a strong grasp of software engineering best practices (version control/Git, modular code design, testing)
Practical experience working with LLM APIs (OpenAI, Anthropic) and integration libraries (LangChain, LlamaIndex)
Understanding the nuances of prompt engineering vs. fine-tuning vs. RAG

Preferred

Excellent communication, collaboration, and interpersonal skills
Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion
Understanding of RL techniques or self-correction loops to optimize agent performance
Experience building interactive front-ends to showcase your models (e.g., Streamlit, Dash, React) so stakeholders can interact with your agents
The ability to explain complex AI architectures to non-coding scientific stakeholders
Comfort working in an ambiguous, fast-paced environment where the technology stack (e.g., agent frameworks) is evolving rapidly

Benefits

Paid holiday time off benefits

Company

Genentech

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Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines.

H1B Sponsorship

Genentech has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (167)
2024 (148)
2023 (150)
2022 (178)
2021 (121)
2020 (158)

Funding

Current Stage
Public Company
Total Funding
unknown
2009-03-26Acquired
1999-07-20IPO
1976-01-01Series Unknown

Leadership Team

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Ashley Magargee
Chief Executive Officer
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Michael Laird
Vice President, Global MSAT Drug Substance Biologics Technology and Commercial Products Support
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Company data provided by crunchbase