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

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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