Senior Scientific Data Architect & Data Modeler (all gender)
Core
Designing enterprise-wide data models and platforms for Life Science research, lab, and operational data to support AI and analytics applications.
Role type
Senior Scientific Data Architect & Data Modeler
Builds
Centralized Data Products, modern Data Platforms, and harmonized data structures for R&D and Lab environments.
Domain
Life Sciences / Pharma / Biotechnology / Laboratory Informatics
Deliverable
production ML models
Required skills
Data Architecture, Data Modeling, Enterprise Data Management, Snowflake, AWS, SQL, FAIR Data Principles, Data Mesh, Data Products, Metadata Management, Data Governance, Semantic Layers, Ontologies, Scientific Informatics, Laboratory Informatics, Allotrope Framework (AFO, ASM, ADM, ADF)
Preferred skills
Experience in Pharma, Biotechnology, Diagnostics, or Laboratory environments
Technologies
Snowflake, AWS, SQL
Responsibilities
Analyze existing data landscapes and scientific data sources; Develop enterprise-wide data models for lab, research, and operational data; Establish semantic data models, metadata standards, and data classifications; Implement and evolve FAIR Data Principles and scientific data standards; Design modern data platforms; Collaborate with Labs, R&D, IT, and Data Science teams.
Seniority
Senior, hands-on IC
