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2026 U.S Summer Internship Program: AI Solution Developer – ShinrAI Center for AI/ML

Takeda
United Statesfull_timeVerifiedPosted 31 Oct 2025
💰 $92,000/yr($42,000/yr$92,000/yr)

About the role

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use.  I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

The ShinrAI Center for Artificial Intelligence and Machine Learning is Takeda’s hub in R&D DD&T for advancing AI-driven solutions with trust ("Shin" = trust in Japanese) for transforming pharmaceutical R&D. We partner with Drug Discovery Units (GI, Oncology, Neuroscience, Rare Disease, etc.) to implement impactful AI/ML initiatives.


The AI Solution Development Intern will collaborate with industry-leading scientists and AI engineers, contributing to practical AI solution development, automation, and analytics projects that support pipeline programs. Interns will gain exposure to the responsible integration of AI/ML within drug discovery and development.

How You Will Contribute:
Duties may include the following, under the manager's supervision:

  • Support design, development, and validation of AI/ML models for R&D use cases (e.g., data analysis, predictive modeling, Generative AI implementation)

  • Assist with data preparation, cleaning, and feature engineering from multiple R&D sources

  • Help automate routine research processes using AI tools

  • Evaluate and document model performance

  • Present data to collaborators and stakeholders
     

Internship Development Opportunities:

  • How AI/ML is transforming pharmaceutical innovation and current ShinrAI Center initiatives

  • Cross-functional teamwork between AI scientists and domain experts in drug discovery units

  • Hands-on skills in AI/ML development, ethical integration, and solution deployment in healthcare
     

Job Requirements:

  • Ph.D. candidates in computer science, electrical engineering, or similar related majors.

  • Experienced in Generative AI (LLM, SLM, etc.)

  • Skilled in Python and machine learning

  • Full-time commitment, requiring five days of on-site work at the Cambridge site

  • Demonstrated ability to work effectively as a collaborative team member in an interdisciplinary environment

  • Comfortable exploring large scientific datasets and emerging AI technologies

  • Willingness to comply with all site-specific health, safety, and data privacy requirements

Internship Eligibility 

  • 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 

 

 Program Highlights: 

  • 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 

Applications will be accepted between October 31st- November 16th

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:

Cambridge, MA

U.S. Hourly Wage Range:

$21.00 - $46.00

The estimated hourly range

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Company

Takeda

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