Data Engineer Lead
Core
Building a coherent, trusted data layer to power R&D, guide scale-up choices, and underpin regulatory and industrialization efforts for a bioproduction platform.
Role type
Lead Data Engineer (Biotech R&D)
Builds
Centralized scientific data repository, scalable data models, ontologies, and ETL/ELT pipelines.
Domain
Biotechnology / Bioproduction / Cell Culture
Deliverable
production ML models | infrastructure
Required skills
Data modeling, ontology design, data harmonization, ETL/ELT pipeline development, data governance, metadata management, cross-system integration
Preferred skills
Experience with ELN systems, lab hardware data integration, regulatory data standards
Technologies
ELN systems, spreadsheets, bioreactor exports, analytical/QC readout systems
Responsibilities
Design scalable data models and ontologies reflecting experimental workflows; Harmonize and integrate data from diverse sources (ELNs, instruments, assays) into a central repository; Define naming conventions and unique identifiers for traceability; Develop ETL/ELT pipelines to import, clean, and validate data from lab hardware and software; Collaborate with IT and scientific software suppliers to operationalize secure data flows; Apply industry best practices in data governance.
