Clincial Data Engineer Dmoi

Clinical Data Engineer DMOIRecuerde revisar su CV antes de enviar la solicitud.Además, asegúrese de leer todos los requisitos relacionados con este puesto.The 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.Responsibilities- Design, develop and maintain data processing for clinical/medical insights, review and analytics.- Oversee 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.- Investigate, transform, integrate, and deliver clinical and operational data to generate insights at scale.- Collaborate with stakeholders to understand business context and develop solutions that meet immediate and long-term needs of business customers.- Design and manage expansions and redesigns of data processing and integration triggered by changes or optimizations to business processes or system landscapes.- Ensure connection and communication with upstream parties and teams within a clinical study.- Work with other programmers to solve technical problems, adhering to best practices and standards.- Design dashboards and workflows for data management insights, medical review, and implement automated solutions.- Support innovation in cross?functional projects and initiatives for data?driven and efficient business processes in Clinical Development & Operations.Qualifications and Competencies- Master’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.- Experience with data engineering design, ETL (Extract, Transform, Load) activities and visualization.- Preferably experience in clinical development processes, clinical data domain, standards, and terminology.- Experience 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.- Fundamental experience with ETL concepts and tools such as Azure ADF, R, Python, Spark / PySpark, preferably for creating data models in the clinical area.- Experience with data visualization, preferably PowerBI.- Good understanding of the software life cycle (ITIL) and the GxP validation approach.- Basic understanding of agile methodologies such as Scrum.- Strong interpersonal skills, excellent written and oral communication.- Ability to work effectively both independently and in cross?functional teams.- Fluent in spoken and written English.xqbhyrx LocationSpain : Cataluña : BarcelonaDivisionPharmaceuticalsReference Code**Equal Employment OpportunityBayer 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.#J-*****-Ljbffr

Support innovation in cross?functional projects and initiatives for data?driven and efficient business processes in Clinical Development & Operations.Qualifications and Competencies- Master’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.

• Experience with data engineering design, ETL (Extract, Transform, Load) activities and visualization.
• Preferably experience in clinical development processes, clinical data domain, standards, and terminology.
• Experience 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.
• Fundamental experience with ETL concepts and tools such as Azure ADF, R, Python, Spark / PySpark, preferably for creating data models in the clinical area.
• Experience with data visualization, preferably PowerBI.
• Good understanding of the software life cycle (ITIL) and the GxP validation approach.
• Basic understanding of agile methodologies such as Scrum.
• Strong interpersonal skills, excellent written and oral communication.
• Ability to work effectively both independently and in cross?functional teams.
• Fluent in spoken and written English.