AI and GenAI Data Products Intern

Job Description

AI and GenAI Data Products Intern | Takeda Pharmaceuticals

The Tone:
This is an internship at Takeda Pharmaceuticals, located in Lexington, MA. Takeda operates a forward-looking R&D organization, dedicated to unlocking innovation and delivering transformative therapies to patients by focusing on specific therapeutic areas and investments. This role is crucial for assisting in the implementation and management of AI and Generative AI data products, ensuring alignment with R&D and enterprise goals, and contributing to the advancement of machine learning projects within the pharmaceutical setting. The intern will support efforts to push the boundaries of what is possible in bringing life-changing therapies to patients worldwide.

The TL;DR
• Role: Internship
• Type: Full-time
• Location: In-person, Lexington, MA
• Pay: $21–$46 hourly
• Mission: This intern will assist in the implementation and management of AI and GenAI data products, ensuring compliance and supporting machine learning projects for complex data analysis within R&D.
• Tech Stack: Generative AI, Large Language Models, Machine Learning frameworks, Agile methodologies, GxP standards

What You’ll Actually Do
• Implementation: Assist in implementing and managing AI and GenAI data products aligned with R&D and enterprise stakeholders.
• Development: Support the development and implementation of data models and algorithms for pharmaceutical quality and R&D.
• Collaboration: Collaborate with cross-functional teams to ensure data integrity and accuracy.
• Reporting: Prepare and present detailed reports and visualizations to stakeholders.
• Compliance: Learn and help maintain GxP standards in alignment with Takeda Software Development Lifecycle policies.

The Must-Haves
• Background: Currently pursuing a Bachelor’s degree in Data Science, Statistics, Computational Biology, Bioinformatics, Computer Science, or a related field. This is an Early Career internship position.
• Experience: Some experience or internships applying machine learning/deep learning in life sciences. Interest in AI-driven projects in a pharmaceutical or biotechnology setting.
• Skills: 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 detail; excellent communication skills to convey complex information to non-technical stakeholders.
• Bonus: Basic knowledge of AI technologies in the pharmaceutical industry, experience with machine learning models, and Agile methodologies. Willingness to learn.