AI Data Engineering Intern

What you'll do

• Design and build data pipelines to ingest, transform, and validate large, messy datasets.
• Model data to ensure it is ready for analytics and machine learning applications.
• Write production-quality Python and SQL code for data engineering tasks.
• Apply engineering practices including version control, testing, code review, and documentation.
• Partner with data scientists and clinical collaborators to identify data requirements.
• Manage clinical trial data in industry-standard formats like CDISC SDTM and ADaM.
• Take ownership of a scoped project and deliver a final presentation to senior leaders.
• Utilize AI tools to assist with research and analytics while maintaining ethical standards.

What we're looking for

• Must be currently enrolled in and pursuing a Bachelor’s degree in a technical field like Computer Science or Data Science.
• Must have completed your Junior year by June 2027.
• Must be authorized to work in the United States on a full-time basis.
• Must have hands-on experience programming in Python and writing SQL.
• Must have a foundational understanding of data structures, relational databases, and data movement through systems.
• Familiarity with cloud data platforms like Databricks, SQL warehouses, or AWS is preferred.
• Experience with Git-based version control, automated testing, or CI/CD is preferred; familiarity with Docker is a plus.
• Prior experience with Spark, PySpark, or distributed data processing workflows is preferred.