TL;DR

2026 Summer Intern - Translational Pharmacokinetics/Pharmacodynamics (AI): Building and optimizing AI agents for generating complex mechanistic pharmacological models in drug discovery with an accent on improving agent reasoning capabilities, context retrieval, and code generation accuracy, and validating models against ground-truth data. Focus on deploying Large Language Models to solve real-world problems in drug discovery, architecting advanced agentic workflows, and bridging prototype to product via intuitive interfaces.

Location: On-site in South San Francisco, California, United States of America. Relocation benefits are not available for this position.

Salary: $50.00/hour (approx. $8,000/month)

Company

%hirify_global%, a member of the Roche group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases.

What you will do

Engineer and extend a proprietary multi-agent framework to translate natural language into executable mechanistic code, focusing on improving agent reasoning, context retrieval, and code generation accuracy.
Design robust evaluation frameworks to stress-test AI agents and validate generated QSP models against ground-truth data and historical case studies.
Design and deploy intuitive, scalable interfaces (e.g., Dash/Streamlit web apps) to enable M&S scientists to leverage AI agents in their daily workflows.
Present findings to cross-functional teams, synthesizing feedback, and demonstrating how autonomous modeling accelerates drug development.

Requirements

Education: Must be pursuing a PhD (enrolled student) in 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, including deep working knowledge of orchestration frameworks (LangGraph, AutoGen), graph state, memory persistence, and 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 with LLM APIs (OpenAI, Anthropic) and integration libraries (LangChain, LlamaIndex), understanding the nuances of prompt engineering vs. fine-tuning vs. RAG.
English: B2 required.

Nice to have

Understanding of Reinforcement Learning techniques or self-correction loops to optimize agent performance.
Experience building interactive front-ends to showcase models (e.g., Streamlit, Dash, React).
Comfort working in an ambiguous, fast-paced environment where the technology stack is evolving rapidly.

Culture & Benefits

Intensive 12-week, full-time (40 hours per week) paid internship.
Ownership of challenging and impactful business-critical projects.
Opportunity to work with talented professionals in the biotechnology industry.
Culture guided by Integrity, Courage, and Passion.
Qualifies for paid holiday time off benefits.