• Assist in building and maintaining data pipelines for ingesting, transforming, and validating clinical, biological, and real-world data • Support integration of data from multiple sources (e.g., clinical data, analytics outputs, external datasets) • Help develop and optimize ETL/ELT workflows to ensure data quality and reliability • Collaborate with data science and bioinformatics teams to support analytics and machine learning workflows • Contribute to data modeling, documentation, and best practices for data infrastructure • Participate in code reviews, testing, and performance improvements • Participate in Quality Reviews and Troubleshooting • Communicate progress and findings to cross-functional teams