Takeda
Lexington, MA

2026 Summer Internship Program: Data Scientist for R&D Quality Intern

$21 - $46/hrPosted Nov 7, 2025WebsiteLinkedIn

Skip the busywork

ApplyBolt rewrites your resume for this exact role and hits submit. You just pick the jobs.

Resume tailored to this roleApplied in secondsTrack every application
Download the app

About this role

Job Description

At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on three therapeutic areas and other targeted investments, we push the boundaries of what is possible to bring life-changing therapies to patients worldwide.

Objectives/Purpose:

  • Assist in the implementation and management of AI and GenAI data products in alignment with R&D and enterprise stakeholders.
  • Ensure compliance with company and regulatory requirements.
  • Provide support in machine learning projects for complex and large-scale data analysis.
  • Learn and contribute to machine learning frameworks in digital and innovation projects.

Accountabilities:

  • Support the development and implementation of data models and algorithms for pharmaceutical quality and R&D.
  • Assist in leveraging generative AI and large language models to enhance data analysis and automate processes.
  • Collaborate with cross-functional teams to ensure data integrity and accuracy.
  • Provide support in designing and delivering digital projects.
  • Learn and help maintain GxP standards in alignment with Takeda Software Development Lifecycle policies.
  • Prepare and present detailed reports and visualizations to stakeholders.
  • Assist in the integration and advancement of AI technologies in R&D Quality.
  • Support the development and implementation of strategic AI initiatives to enhance Quality Management Systems (QMS).
  • Assist in overseeing AI-driven projects and ensure timely delivery.
  • Foster a culture of innovation and collaboration.

Dimensions and Aspects:

  • Technical/Functional Expertise: Basic knowledge of AI technologies in the pharmaceutical industry, experience with machine learning models, Agile methodologies, and GxPs.
  • Leadership: Willingness to learn, strong relationship-building skills, and effective communication.
  • Decision-making and Autonomy: Provide input to decisions and ensure swift implementation.
  • Interaction: Experience working in teams and willingness to work in a global environment.
  • Innovation: Support new ways of thinking and contribute to change.
  • Complexity: High multicultural sensitivity and ability to navigate complex global ecosystems.

Education, Behavioral Competencies, and Skills:

  • Pursuing a Bachelor's degree in Data Science, Statistics, Computational Biology, Bioinformatics, Computer Science, or a related field.
  • Some experience or internships applying machine learning/deep learning in life sciences.
  • Interest in AI-driven projects in a pharmaceutical or biotechnology setting.
  • Familiarity with generative AI and large language models.
  • Basic understanding of GxPs, regulatory requirements, and quality standards in the pharmaceutical industry.
  • Strong problem-solving skills and attention to details.
  • Excellent communication skills to convey complex information to non-technical stakeholders.

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