The Principal Data Engineer will develop and maintain automated data pipelines to transform raw healthcare datasets into reusable, AI-ready data models for RWE studies. They will also engage with cross-functional stakeholders to translate business requirements into actionable data structures and ensure high data quality through rigorous validation.
The Clinical Data Enablement Manager will support and maintain end-to-end clinical data pipelines within cloud environments to ensure reliable and compliant data delivery. They will also collaborate with cross-functional teams to automate workflows, monitor performance, and ensure adherence to GxP and data integrity standards.
The Senior Clinical Data Enablement Manager will support and maintain end-to-end clinical data pipelines within cloud environments like AWS and Azure. They will also collaborate with cross-functional teams to ensure data quality, compliance, and efficient delivery of clinical data assets.
The Clinical Data Ingestion Manager is responsible for managing the reliable and timely ingestion of clinical data from various sources into review platforms. They will perform quality control, maintain ingestion frameworks, and ensure data is review-ready for study teams in a GxP environment.
The Clinical Data Ingestion Manager is responsible for managing the ingestion, quality control, and delivery of clinical data from various sources into review platforms. They will maintain reusable ingestion frameworks, perform data reconciliation, and ensure all processes adhere to GxP standards.
The role involves providing high-quality statistical oversight at the study level and delivering statistical input across clinical projects. You will also be responsible for reviewing statistical deliverables, developing study documentation, and managing client relationships.
You will design, develop, and maintain R packages and Shiny applications to support statistical and programming teams. The role involves collaborating with cross-functional teams to build scalable solutions for data analysis and reporting.