Tasks:
* Life-cycle management activities for Clinical Data Warehouses and Statistical Computing Environments projects in the Data and Statistical Sciences Centre for Real-World Evidence and Evidence Generation - Data Engineering (DX-DSS-DEN) function
* Technical consulting for patient-level data and real-world secondary data related technology projects based on Google Cloud BigQuery, AWS (S3, Redshift), ETL (e.g. Informatica) and BI technologies
* Contribute industry knowledge to establish best practices and develop innovative technology solutions in the field of Clinical Data Engineering
* Formalize and document system related processes (Standard Operating Procedures) under the framework of GxP, GDPR and Data Governance
Qualification:
* Good understanding of the principles, concepts, processes, and standards of Clinical Research & Real-World Evidence, specifically Clinical Systems & Technologies, Clinical Data Science and Statistical/Clinical Programming
* Strong experience in management and administration of Clinical Data Warehouses and Statistical Computing Environments (e.g. SAS, R)
* Expert technical skills in Google Cloud BigQuery, AWS (S3, Redshift) and ETL (e.g. Informatica)
* Strong skills in continuous process improvement, project management, change management, and risk management
* Experience in R-Shiny/Python, EDC and other patient-level data related systems would be recommended
* Knowledge of GxP, GDPR and Computer System Validation (GAMP5)
* Excellent English language skils
Requirements:
Start : 01.07.2025
Duration : 12 months
Capacity : 5 days per week
Location : 100% remote