Support the broader Data Engineering community to deliver cutting‑edge data and analytics platforms for Global Drug Development, focusing on Cross Study Operations and Specimen Management.
Princeton - NJ - US: $65,540 - $79,413
- Collaborate with BI&T partners, cross‑study operations leads, specimen management specialists, clinical study teams, clinical trial analysts, trial managers, domain experts and cross‑functional leaders to support effective adoption of our Data Platform.
- Design, build, and maintain scalable, production‑grade data pipelines and platform components supporting Cross Study Operations and Specimen Management product lines.
- Develop and enhance data solutions to accelerate data usage across cross‑study clinical R&D programs, ensuring robustness, interoperability with consumer applications, and scalability.
- Optimize data platform components for performance, scalability, interoperability, availability, and cost‑effectiveness using cloud‑native parallel processing, Databricks Delta Lake, caching, and partitioning.
- Help design and build scalable ETL/ELT pipelines and data models using Databricks, Delta Lake, cloud‑native tools, semantic modeling, and interoperability standards for large, complex cross‑study and specimen datasets.
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