AI & Machine Learning Intern

Join a Legacy of Innovation 125 Years and Counting!

Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 125 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 18,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. In addition to a strong portfolio of medicines for cardiovascular diseases, under the Group’s 2025 Vision to become a “Global Pharma Innovator with Competitive Advantage in Oncology,” Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders.  

We are currently seeking an AI & Machine Learning Intern for Summer 2026. This full-time position works for approximately 37.5 hours per week.

Responsibilities:

Project Title
Exploring and Building AI/ML Automation Pipelines to Enhance Efficiency in Statistical Programming

Scope of Work
The intern will focus on developing and testing automation pipelines in the following area:
AI-Assisted Code Review & Validation

• Develop a tool to automatically compare output datasets or TLF results across versions or programming languages (SAS vs R).
• Integrate AI/NLP methods to detect differences in titles, labels, or code structures.
• Deliverable: Automated comparison report with result consistency score.

Qualifications:

• Currently pursuing a Master’s or PhD degree in Data Science, Computer Science, Statistics, Biostatistics, or a related quantitative field.
• Completed at least one semester of graduate-level coursework in Machine Learning or Natural Language Processing (NLP).
Skills:
• Proficiency in Python (preferred) or R for AI/ML development.
• Familiarity with NLP libraries (e.g., Hugging Face, spaCy, NLTK) or LLM APIs (OpenAI, Azure OpenAI).
• Understanding of statistical programming concepts (SAS or R).
• Knowledge of data comparison techniques (hashing, record matching, schema validation).
• Ability to design and interpret model performance metrics.
Experience:
• Prior academic or project experience in AI/ML model development, data wrangling, or text analytics.
• Exposure to software validation or data pipeline automation is a plus.
• Familiarity with version control tools (Git, GitHub) preferred.

Common Soft Skills:

• Strong analytical and problem-solving mindset.
• Excellent written and verbal communication skills.
• Self-motivated and able to work independently under minimal supervision.
• Interest in the pharmaceutical, biotechnology, or clinical research domain.
• Ability to collaborate effectively in a multi-disciplinary global team.

Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer.  All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.  

Salary Range: