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

Location: Lexington, Massachusetts, United States

Employment Type: Full time

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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.

For Location:

Lexington, MA

U.S. Hourly Wage Range:

$21.00 - $46.00

EEO Statement

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.

Locations

Lexington, MA

Worker Type

Employee

Worker Sub-Type

Paid Intern (Fixed Term) (Trainee)

Time Type

Full 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.