What are the responsibilities and job description for the 2026 U.S. Summer Internship Program: Quantitative Clinical Pharmacology (QCP) AI/RAG Intern position at BioSpace?
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Job Description
The Quantitative Clinical Pharmacology (QCP) group within Takeda R&D applies advanced modeling and simulation approaches to optimize drug development, inform clinical trial design, and support regulatory interactions. Our team collaborates across clinical, regulatory, and data science functions to deliver insights that accelerate pipeline decision-making. As part of Takeda’s digital and data science transformation, QCP is exploring how open-source large language models (LLMs) and retrieval-augmented generation (RAG) pipelines can streamline pharmacometrics (PMx) workflows and regulatory query support.
As a QCP AI/RAG Intern, you will help design and implement a proof-of-concept (POC) system that integrates open-source LLMs into a RAG pipeline for PMx code generation (e.g., NONMEM, Monolix) and clinical pharmacology regulatory query support. This role provides a unique opportunity to apply cutting-edge generative AI techniques within a highly regulated biopharmaceutical setting.
How You Will Contribute
As a QCP AI/RAG Intern, you will have the opportunity to:
Takeda Compensation And Benefits Summary
We understand compensation may bean important factor as you consider an internship opportunity. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.
For Location:
USA - MA - Cambridge - Binney St
U.S. Hourly Wage Range
$21.00 - $46.00
The estimated hourly range reflects an anticipated range for this position. The actual hourly wage offered will depend on the candidate’s school year/level to be entered following completion of internship.The actual hourly wage offered will be in accordance with state or local minimum wage requirements for the job location.
U.S. internship benefits vary by location and may include:
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.
LocationsUSA - MA - Cambridge - Binney St
Worker TypeEmployee
Worker Sub-TypePaid Intern (Fixed Term) (Trainee)
Time TypeFull time
Job Exempt
No
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Job Description
The Quantitative Clinical Pharmacology (QCP) group within Takeda R&D applies advanced modeling and simulation approaches to optimize drug development, inform clinical trial design, and support regulatory interactions. Our team collaborates across clinical, regulatory, and data science functions to deliver insights that accelerate pipeline decision-making. As part of Takeda’s digital and data science transformation, QCP is exploring how open-source large language models (LLMs) and retrieval-augmented generation (RAG) pipelines can streamline pharmacometrics (PMx) workflows and regulatory query support.
As a QCP AI/RAG Intern, you will help design and implement a proof-of-concept (POC) system that integrates open-source LLMs into a RAG pipeline for PMx code generation (e.g., NONMEM, Monolix) and clinical pharmacology regulatory query support. This role provides a unique opportunity to apply cutting-edge generative AI techniques within a highly regulated biopharmaceutical setting.
How You Will Contribute
As a QCP AI/RAG Intern, you will have the opportunity to:
- 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.
- Gain hands-on experience with LLMs, RAG pipelines, and generative AI frameworks.
- Learn best-practice in pharmacometric modeling and simulation (NONMEM, Monolix).
- Develop domain expertise in clinical pharmacology regulatory filings and Model-Informed Drug Development (MIDD).
- Enhance technical and scientific communication skills by collaborating with cross-functional R&D teams.
- Experience first-hand how digital transformation and AI are reshaping modern drug development.
- This position will be Hybrid (1–2 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.
- 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 depending on the two start dates (May 26th-August 14th or June 15th- August 21st)
- The intern must be able to commit to one of these time frames
- Able to work full time 40 hours a week during internship dates
- Takeda does not provide a housing stipend or relocation support for the U.S Summer Internship Program
- Hands-on experience with real projects and responsibilities
- Dedicated mentorship program pairing interns with experienced professionals
- Networking opportunities with industry professionals and fellow interns
- Internship events focused on professional and skills development
- Exposure to multiple business areas or departments within a Pharmaceutical Organization
Takeda Compensation And Benefits Summary
We understand compensation may bean important factor as you consider an internship opportunity. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.
For Location:
USA - MA - Cambridge - Binney St
U.S. Hourly Wage Range
$21.00 - $46.00
The estimated hourly range reflects an anticipated range for this position. The actual hourly wage offered will depend on the candidate’s school year/level to be entered following completion of internship.The actual hourly wage offered will be in accordance with state or local minimum wage requirements for the job location.
U.S. internship benefits vary by location and may include:
- Paid sick time
- Civic Duty paid time off
- Participation at company volunteer events
- Participation at company sponsored special events
- Access to on-site fitness center (where available)
- Commuter Benefit: To offset your work-commute expenses, Takeda provides U.S. employees with a fixed monthly subsidy to be used for either public transportation (transit) or parking.
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.
LocationsUSA - MA - Cambridge - Binney St
Worker TypeEmployee
Worker Sub-TypePaid Intern (Fixed Term) (Trainee)
Time TypeFull time
Job Exempt
No
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Salary : $21 - $46
