Sr. Data Engineer – Clinical Data Hub
Core
Design, build, maintain, and analyze large-scale clinical data pipelines and solutions to support drug development lifecycle, regulatory submissions, and discovery.
Role type
Senior IC data engineer (clinical data hub)
Builds
End-to-end data pipelines, ETL/ELT processes, and scalable data solutions for clinical data products
Domain
Life sciences / Clinical data / Big data
Required skills
Big data technologies (Databricks, Apache Spark, PySpark, SparkSQL), Python/R for EDA and feature engineering, SQL, data modeling, data governance frameworks, data protection regulations (GDPR, CCPA), cloud platforms (AWS)
Preferred skills
Machine learning model training, data warehousing concepts, clinical development domain knowledge, SAFe for Teams certification
Technologies
Databricks, Apache Spark, AWS, Python, R, SQL
Responsibilities
Design and develop data pipelines for data generation, collection, and processing; implement ETL/ELT processes to migrate and deploy data; manage data pipeline projects from inception to deployment; develop and maintain data models and documentation; implement data security and privacy measures; collaborate with cross-functional teams to design solutions; resolve complex data-related challenges; explore new tools to improve ETL platform performance
Seniority
Senior, hands-on IC