Overview In this role you design and maintain clinical data collection, ingestion and integration from study sources to support quality monitoring and statistical analysis. You will collaborate with study teams and external partners to ensure end-to-end data flow in a Clinical Data Environment. You’ll implement data quality checks, build data pipelines, and enable smooth data delivery for inspections and audits. This position combines data engineering with clinical study governance to advance translational research at Bayer.

ResponsabilidadesSet up study-level data collection elements, triggers, derivations, and data quality checksManage data ingestion from CROs and vendors and exchanges with partner systemsDevelop and validate programs for study setup, conduct, and closeout within the Clinical Data Environment/LakehouseProvide clinical study data to business users with traceability and issue resolutionPlan and prioritize study timelines,



ensure documentation complies with SOPs for auditsContribute as a subject matter expert for processes, systems, and tools Requisitos principalesAt least 3 years in a scientific, data-driven position, preferably in clinical data managementProgramming experience in C#, SQL, SAS, Python, or RExperience with big data technologies, cloud platforms (AWS, Azure, GCP) and data integration tools (Databricks)Knowledge of CDISC clinical data standards and regulatory guidelines (ICH, GCP, HIPAA) preferredStrong organizational skills and ability to work independently in a general environmentExcellent written and verbal English communication and stakeholder collaborationStrong communicationCross-functional collaborationTime managementC#SQLSAS

📌 Clinical Data Engineer CDP & DP (Barcelona)
🏢 Jobrapido
📍 Barcelona