Scientist, Research Data Modeling - Princeton, NJ
Core
Design and deliver data models to transform diverse scientific, experimental, and operational research data into trusted, discoverable, reusable, and AI-ready assets.
Role type
Research Data Modeler
Builds
Research data products and use cases for formulation, ingredient discovery, laboratory workflows, and experimental data
Domain
Life Sciences / Data Engineering
Deliverable
production ML models
Required skills
Conceptual, logical, and physical data modeling, Databricks, Delta Lake, dbt, SQL, Python, FAIR principles, metadata management, data governance
Preferred skills
Experience in R&D, laboratory, formulation, nutrition, biotech, pharma, microbiome, or omics domains
Technologies
Databricks, Delta Lake, dbt, SQL, Python
Responsibilities
Design and maintain conceptual, logical, and/or physical data models for research and scientific data domains; Work with scientists and business stakeholders to understand data needs, capture requirements, and translate them into practical data structures; Collaborate with data engineers and platform teams to implement models in Databricks environments or other enterprise data platforms; Apply data modelling standards and best practices, including FAIR principles, metadata management, semantic clarity, and reusable data design
Seniority
Mid-level, hands-on IC
