Intern, Data Science and Analytics
About The Position
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 TDS Data Science & Analytics team enables Technical Operations (TOPS) to make data-driven decisions by integrating data across labs and manufacturing sites and applying advanced analytics. We combine technical capability, process knowledge, and tools to deliver descriptive, predictive, and increasingly agentic AI-driven insights for process monitoring, deviation analysis, optimization, and strategic planning. This internship focuses on building intelligent, autonomous systems that enhance data accessibility and decision-making for scientists and engineers. You will work on projects that reduce manual data tasks, improve automation, and explore agentic AI approaches to streamline workflows and enable proactive insights. Sample Projects Develop AI agents to automate data ingestion, cleaning, and transformation from lab instruments and integrate with analytical platforms. Implement multi-agent workflows for predictive modeling and anomaly detection in manufacturing processes. Build intelligent assistants for scientists using NLP and LLM-based tools to summarize deviations, extract insights, and recommend actions. Enhance end-user experience by creating adaptive dashboards and self-service analytics powered by AI.
Requirements
- Programming: Python/R, SQL
- Familiarity with structured, semi-structured, and unstructured data
- Data Analysis: Ability to work with large datasets using Python, R Shiny, or BI tools
- Strong problem-solving and research skills
- Ability to translate user requirements into technical solutions (UI/UX, database design)
- Communication: Present complex concepts clearly and tell a compelling data story
- Student pursuing a bachelor’s or masters degree in Data Science, Computer Science, Engineering, or related field
- 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. Some positions will be open to remote interns, but employee must be within United States borders.
Nice To Haves
- Understanding of agentic AI concepts (e.g., autonomous agents, multi-agent systems)
- Experience with LLMs, NLP, and prompt engineering
- Knowledge of data modeling and engineering principles
- Familiarity with Git, documentation best practices
- Exposure to Microsoft Power Platform and REST APIs
- Basic understanding of biotech manufacturing and GMP
- Creative problem-solving and adaptability
Benefits
- 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
- Corporate office amenities such as: 24/7 on-site gym, coffee truck, snacks
- Access to Employee Resource Groups
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Number of Employees
1,001-5,000 employees
