Intern the Otsuka Way 2026 - Omnichannel Data Science Intern

Job Summary :

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.  

The Omnichannel Data Science Intern will provide analytical support for the organization’s expanding omnichannel initiatives, contributing to data preparation, exploratory analysis, documentation, and early-stage modeling efforts. This role offers hands-on exposure to real-world data science applications within biopharmaceutical Commercial Operations, with a particular focus on rare disease analytics, where data sparsity and complex patient journeys require innovative modeling approaches. The internship is designed to accelerate project delivery, enhance team efficiency, and support the development of early-career data science talent within a matrixed organization. 

Key Responsibilities: 

• Partner closely with omnichannel analytics team to support expanding omnichannel initiatives.  

• Perform data preparation and data management tasks to enable downstream analytics and modeling.  

• Conduct exploratory data analysis (EDA) to identify trends, patterns, and data quality considerations.  

• Support early-stage modeling activities, including:  

• Feature engineering 

• Prototype model development 

• Testing and evaluation of new analytical techniques 

• Assist with documentation of analytical workflows, assumptions, and findings.  

• Contribute to analytics projects focused on rare disease use cases, applying creative approaches to address limited or complex datasets.  

• Translate analytical outputs into clear, actionable insights and recommendations for cross-functional stakeholders. 

Minimum: 

• Undergraduate or graduate student graduating in the next 12-18 months who is pursuing a degree in Engineering, Mathematics, Data Science, Statistics, or a related quantitative discipline. 

• Strong analytical, problem-solving, and critical-thinking skills. 

• Proficiency in Python for data analysis and modeling. 

• Foundational experience with data management concepts and tools. 

• Strong written and verbal communication skills. 

• Ability to collaborate effectively within cross-functional and matrixed teams.