Senior Scientific Data Architect & Data Modeler (all genders)

YOU… analyze existing data landscapes, data flows, and scientific data sources in the life sciences environment develop enterprise-wide data models for laboratory, research, and operational data as well as centralized data products establish semantic data models, metadata standards, and data classifications to improve data usability and discoverability introduce and advance FAIR Data Principles and scientific data standards design modern data platforms based on Snowflake and AWS and develop cross-domain data architectures collaborate closely with laboratories, R&D, IT, and data science, supporting analytics, AI, and data science applications through harmonized data structures YOU… have a degree in computer science, data science, bioinformatics, mathematics, natural sciences, or a comparable field bring at least eight years of professional experience in data architecture, data modeling, or enterprise data management, as well as experience in pharmaceutical, biotechnology, diagnostic, or laboratory environments possess sound knowledge of modern data architectures, data platforms, and data modeling, alongside practical experience with Snowflake, AWS, and SQL are familiar with concepts such as FAIR Data Principles, Data Mesh, Data Products, Metadata Management, and Data Governance bring experience with semantic layers, ontologies, and scientific data models for harmonizing complex research and lab data