Summer Internship: Data And Analytics Intern (hybrid - San Carlos, Ca)
BeiGene
San Carlos, CA, USA
Masters: $30ph usd; phd: $35ph usd; not specified
Hybrid (in-person on tuesdays and wednesdays)
Ai-powered chatbot development
Nl2sql pipelines implementation
Redshift metadata management
BeiGene is seeking a Data and Analytics Intern for a hybrid position in San Carlos, CA, from June 8 to August 21, 2026. The role involves working on AI-powered data solutions, requiring a background in computer science or related fields, and a commitment to in-person work on specified days
Job Summary
This internship offers hands-on experience in data modeling, ETL, visualization, data quality checks, and reporting using SQL and AWS.
The role involves designing and building an AI-powered bot to interface with the enterprise data warehouse, blending data engineering, AI/ML integration, and backend development.
Key responsibilities include AI bot development, data engineering and Redshift optimization, and backend and AWS integration.
Matching Summary
Match Score: 85
BeiGene is seeking a Data and Analytics Intern for a hybrid position in San Carlos, CA, from June 8 to August 21, 2026. The role involves working on AI-powered data solutions, requiring a background in computer science or related fields, and a commitment to in-person work on specified days.
Salary
Masters: $30/hour USD; PhD: $35/hour USD; Not specified
Skills & Requirements
Must-have
AI-powered chatbot development
NL2SQL pipelines implementation
Redshift metadata management
Python backend services development
AWS Lambda and Amazon Bedrock usage
SQL query optimization
Relational databases and data warehousing
Nice-to-have
Collaborative and motivated professional
Passionate interest in fighting cancer
Scientific and business professionals
Continuous learning and embracing change
Key Requirements
Currently enrolled in university undergrad (junior year or above preferred) or master’s/PhD program
3.0 GPA
Pursuing degree in Computer Science, Data Science, AI, or related field
Hands-on experience on Databricks
Basic experience with Python
Familiarity with REST APIs, AI/LLMs and prompt engineering