Scientist Data Modeller

ppLocation: Delft, Netherlands or Kaiseraugst, Switzerland /ppWe are seeking a highly skilled and experienced Data Modeller to join our Data Science AI Department, in a team focused on Clinical / Real World Data. In this role, you will develop data models for pre-clinical/clinical/RD environments, embedded in data ecosystems, ensuring data quality and regulatory compliance, and their integration across the diverse dsm-firmenich scientific domains. The ideal candidate has a strong data modelling background, solid understanding of data engineering principles and data management/governance best practices, an affinity for working in multidisciplinary teams, and a passion for data-driven decision-making. This role will be in an international setting, working within a global company, providing the opportunity to collaborate with diverse teams across various regions. /ph3Responsibilities /h3ulliDesign logical and physical enterprise data models that support analytics, reporting, and operational use cases across clinical, pre-clinical trial domains and other RD scientific environments, as well as their integration in data ecosystems. /liliImplement and maintain data modelling architectures, including hubs, links, satellites, and business vault patterns to enable auditable, historized, and scalable data integration. /liliDevelop and deploy comprehensive data management strategies and data governance frameworks, and ensure compliance with FAIR principles and good data management practices. /liliSupport the implementation of data quality frameworks and establish quality rules to ensure data accuracy and reliability, following data standards in regulated environments. /liliSupport the implementation of data management tools, ETL data pipelines and platforms, to support data processing, governance and qua…