Data Platform Engineer, R&D
Core
Build and operate scalable scientific data pipelines and services connecting consumer, biological, OMICS, assay, formulation, and performance data to support analytics, computational biology, and AI-supported discovery.
Role type
Senior Data Platform Engineer (Scientific Data Foundation)
Builds
Scalable data pipelines, trusted data controls, and interfaces for analytical environments and AI workflows
Domain
Life Sciences / Biotechnology / Consumer Goods R&D
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, data pipeline engineering, data integration, metadata management, data quality controls, versioning, access control, operational support
Preferred skills
Data orchestration, data lakes/warehouses, semantic modeling, ontologies, knowledge graphs, FAIR data practices, biological/OMICS data engineering
Technologies
Python, SQL, cloud platforms, APIs, databases
Responsibilities
Build scalable pipelines to ingest, transform, and standardize scientific datasets; Implement metadata, provenance, and data-quality controls; Operate and monitor data services and interfaces for reliability and performance
Seniority
Senior, hands-on IC
