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The BioMarin Summer Internship Program will enable students to gain valuable experience and knowledge of the processes and systems within BioMarin, while gaining an insight into the pharmaceutical/biotech industry. Over the course of 10 - 12 weeks our interns gain industry experience while working alongside our talented team on meaningful projects. The TOPS Insights & Analytics team is the central analytics partner for Technical Operations, combining expertise in operations and business analytics to translate complex manufacturing and supply chain data into clear, actionable insights. The team works closely with functions across TOPS to support efficient, reliable, and informed decision-making. By applying strong analytical thinking, developing practical reporting and visualization tools, and uncovering key performance drivers, the Insights & Analytics team helps identify trends, anticipate challenges, and proactively manage operational risks. This work supports smarter planning, more resilient business processes, and data-driven strategies that strengthen Technical Operations as a whole.
Job Responsibility:
Support the refresh of a supplier and raw material risk-prioritization framework
Extract, prepare, and integrate operational and procurement data from enterprise systems
Update and maintain a risk-scoring model that incorporates usage, criticality, and performance factors
Build and refine analytical dashboards to highlight high-risk suppliers and materials
Summarize findings and present insights to cross-functional stakeholders
Develop and enhance analytics dashboards using data from cross-functional workflow and tracking tools
Model activity, resource, and performance metrics to support operational planning and process improvement
Collaborate with business partners to validate data inputs and ensure accuracy of underlying datasets
Present dashboard updates and insights to end users to support decision-making
Assist in building semantically enriched data models designed for AI-assisted business analytics
Help configure and prepare datasets for AI prompting and natural-language-driven analysis
Explore use cases that demonstrate how AI can enhance reporting, insights, and decision support
Document findings and contribute to development of best practices for AI-ready analytics models
Requirements:
Strong communication and presentation skills
Comfort working with cross-functional teams and managing multiple inputs
Strong analytical and problem-solving abilities
Experience with data querying or manipulation (e.g., SQL)
Familiarity with data visualization tools (e.g., Power BI or similar)
Basic understanding of data modelling concepts
Ability to work with large datasets and maintain data accuracy
Clear written and verbal communication skills
Ability to collaborate effectively with cross-functional teams
Strong organizational skills and attention to detail
Student currently pursuing Master’s degree in a relevant field such as: Business Analytics, Data Analytics, Information Systems, Industrial Engineering, Operations Management, Supply Chain Management, Computer Science or a related analytical discipline
Must be available to work full time, 40 hours a week
Must be currently enrolled as a full-time student at an accredited U.S. based university or college and enrolled in the fall term after the completion of the internship OR have graduated within 1 year of the start of the program
Must be able to relocate if necessary and work at the designated site for the duration of the internship for on-site, hybrid roles
Nice to have:
Coursework or experience in business analytics, information systems, data modelling, or related fields
Exposure to enterprise resource planning (ERP) or similar systems
Experience with Python, R, or data automation tools
Experience with analytical calculations or formula-based logic within data visualization or reporting tools
Understanding of supply chain, manufacturing, or operational processes
Familiarity with workflow or ticketing tools (e.g., JIRA)
Interest in AI-enabled analytics or semantic data modelling
What we offer:
Paid hourly wage, paid company holidays, and sick time
Apply skills and knowledge learned in the classroom to on-the-job experiences
Comprehensive, value-added project(s)
Develop skills specific to your major
Opportunities for professional development by building relationships and learning about other parts of the business
Participate in company all hands meetings, monthly community lunches