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 ProgrammingStrong 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 managementExperience in R-Shiny / Python, EDC and other patient-level data related systems would be recommendedKnowledge of GxP, GDPR and Computer System Validation (GAMP5)Excellent English language skilsRequirements : Start : 01.07.2025
Duration : 12 months
Capacity : 5 days per week
Location : 100% remote