2026 U.S. Summer Internship Program: Quantitative Clinical Pharmacology (QCP) AI/RAG Intern

Role Summary

2026 U.S. Summer Internship Program: Quantitative Clinical Pharmacology (QCP) AI/RAG Intern

Responsibilities

• Develop a prototype RAG pipeline leveraging open-source LLMs, embeddings, and vector databases.
• Ingest and index internal clinical pharmacology and regulatory documents to enable natural-language search and summarization.
• Build workflows for automated NONMEM/Monolix code generation from structured specifications, validated against existing models.
• Design a chatbot interface for natural-language queries over indexed regulatory/QCP documents with grounded citations.
• Conduct evaluation of retrieval accuracy, code validity, and regulatory response quality.
• Document the architecture, methods, and findings for internal review and handover.
• Present results and recommendations to QCP leadership and Takeda stakeholders.

Qualifications

• This position will be Hybrid (1‚Äì2 days/week in office) out of the Boston, MA location.
• Must be pursuing a PhD degree in Pharmacometrics, Quantitative Clinical Pharmacology, Computational Biology, Data Science, Computer Science, or a related field.
• Strong programming skills in Python (experience with LangChain, HuggingFace, or PyTorch preferred).
• Familiarity with LLMs, embeddings, RAG architectures, and prompt engineering.
• Prior exposure to pharmacometric modeling (NONMEM, Monolix, or Stan) is desirable.
• Strong written and verbal communication skills, with the ability to translate technical concepts to scientific stakeholders.
• Self-motivated, detail-oriented, and able to work independently in a fast-paced, collaborative environment.

Education

• No specific degree required beyond PhD pursuit as listed above; relevant fields include Pharmacometrics, Quantitative Clinical Pharmacology, Computational Biology, Data Science, Computer Science.

Skills

• Python programming; experience with LangChain, HuggingFace, or PyTorch preferred
• LLMs, embeddings, RAG architectures, and prompt engineering
• Pharmacometric modeling experience with NONMEM, Monolix, or Stan (desirable)
• Strong written and verbal communication; ability to translate technical concepts to scientific stakeholders

Additional Requirements

• Must be authorized to work in the U.S. on a permanent basis without requiring sponsorship
• Must be currently enrolled in a degree program graduating December 2026 or later
• The internship program is 10-12 weeks with start dates in late May to August
• Able to work full time 40 hours per week during internship dates
• Hybrid work arrangement; location: USA - MA - Cambridge/Boston area for this listing