ph3Clinical Data Engineer DMOI /h3pThe Clinical Data Engineer is responsible for the design, development, and maintenance of data monitoring and operational insights data processing. The role focuses on data modeling and integration of clinical data across studies, as well as operational data and implementation of data pipelines and ETL processes. The position collaborates with data engineers of other teams to support all individual studies. /ph3Responsibilities /h3ulliDesign, develop and maintain data processing for clinical/medical insights, review and analytics. /liliOversee domains of the data model and integration of clinical data within a study as well as operational data from various sources, implementing data pipelines and ETL processes. /liliInvestigate, transform, integrate, and deliver clinical and operational data to generate insights at scale. /liliCollaborate with stakeholders to understand business context and develop solutions that meet immediate and long-term needs of business customers. /liliDesign and manage expansions and redesigns of data processing and integration triggered by changes or optimizations to business processes or system landscapes. /liliEnsure connection and communication with upstream parties and teams within a clinical study. /liliWork with other programmers to solve technical problems, adhering to best practices and standards. /liliDesign dashboards and workflows for data management insights, medical review, and implement automated solutions. /liliSupport innovation in cross‑functional projects and initiatives for data‑driven and efficient business processes in Clinical Development Operations. /li /ulh3Qualifications and Competencies /h3ulliMaster’s or Bachelor’s degree in computer science, statistics,



mathematics, natural sciences or related field with at least 3 years of experience as a data engineer or data‑warehouse expert, optimally in pharmaceutical, biotech or similar industry. /liliExperience with data engineering design, ETL (Extract, Transform, Load) activities and visualization. /liliPreferably experience in clinical development processes, clinical data domain, standards, and terminology. /liliExperience working with clinical data sources (EDC, ECOA, Central Lab) and transforming into pre‑SDTM and SDTM clinical data models as well as operational data from EDC and other sources. /liliFundamental experience with ETL concepts and tools such as Azure ADF, R, Python, Spark / PySpark, preferably for creating data models in the clinical area. /liliExperience with data visualization, preferably PowerBI. /liliGood understanding of the software life cycle (ITIL) and the GxP validation approach. /liliBasic understanding of agile methodologies such as Scrum. /liliStrong interpersonal skills, excellent written and oral communication. /liliAbility to work effectively both independently and in cross‑functional teams. /liliFluent in spoken and written English. /li /ulh3Location /h3pSpain : Cataluña : Barcelona /ph3Division /h3pPharmaceuticals /ph3Reference Code /h3 h3Equal Employment Opportunity /h3pBayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination. /p /p #J-18808-Ljbffr

📌 Clincial Data Engineer DMOI (Barcelona)
🏢 Bayer CropScience
📍 Barcelona