Intern the Otsuka Way 2026 - Data Governance & Data Integrity Intern

Otsuka’s internship program, Intern the Otsuka Way (InTOW), offers students a unique opportunity to gain hands-on experience and develop critical skills while contributing to meaningful projects. Interns will work alongside experienced professionals, learn about the complexities of the pharmaceutical industry, and gain insights into potential career paths. By combining practical experience with professional development, our program prepares interns for future success. Our internship program also includes instructor-led trainings, a leadership engagement series, as well as insightful lunch and learns. 

Application Deadline: Candidates are encouraged to apply within 10 business days of the posting date. The position may remain open past this window until a suitable candidate is selected. 

Interviews and offers: February through March 2026. 

Duration of internship: June 1, 2026, through August 10, 2026.  

Job Description  

The Data Governance & Data Integrity Intern will play a key role in accelerating foundational data integrity initiatives. Operating within a structured, consulting-style mentorship model, the intern will support a current-state assessment of Data Integrity, Data Governance, and Advanced Data Analytics (Automation / AI) across Global Quality pillars and GxP cross-functional areas. This role offers exposure to enterprise-level quality systems, regulatory-driven data practices, and strategic decision-making within a life sciences environment. By the end of the internship, the intern will:  

• Develop practical knowledge of Data Governance, Data Integrity, and Advanced Data Analytics within Global Quality organizations. 

• Gain exposure to organizational change management and consulting methodologies. 

• Build understanding of life sciences domain processes and GxP regulations. 

• Strengthen stakeholder engagement, communication, and professional consulting skills. 

• Understand how enterprise data governance enables regulatory compliance, operational excellence, and advanced quality insights. 

Key Responsibilities: 

• Support current-state Data Governance and Data Integrity assessment across Global Quality (GQ) pillars and GxP cross-functional areas.  

• Develop an understanding of:  

• Global Quality (GQ) pillar services and operating models 

• GxP cross-functional areas and workflows 

• Data Lifecycle, Data classifications, data ownership, and stewardship models 

• Key performance indicators (KPIs) and quality metrics 

• Feasibility of developing AI/ML use cases for Advanced Data Analytics 

• Business and quality decisions enabled by critical data assets 

• Gather, organize, and analyze information related to data lifecycle, data flows, data