Data Platform Lead, Life Sciences & Analytics

Regeneron Pharmaceuticals, Inc.; Village of Tarrytown (NY); Sur place; USD 100 000 - 140 000; Plein temps

Résumé du poste

Regeneron Pharmaceuticals, Inc. is seeking a Data Champion for the Protein Expression Sciences team. The role is on-site in Tarrytown, NY, focusing on architecting data models and data flows across lab systems and data lakes to enable self-service analytics.

You will drive data quality, lineage, metadata and catalog standards, partnering with Research IT and other departments to deliver scalable, compliant data platforms and workflows.

Qualifications

• Bachelor's degree in Biology, Chemistry, Life Sciences or related field required.
• 5+ years of progressive experience managing scientific laboratory data.
• Experience with data platforms, LIMS/ELN architectures and data governance.

Responsabilités

• Define data models for PES entities harmonized across data ecosystems.
• Lead data platform design toward a central data lake strategy.
• Stand up data catalog and metadata standards; manage master data strategies.
• Architect LIMS/ELN solutions and enable scalable lab platforms.
• Drive SAFe practices; co-create roadmaps with PES teams and data experts.
• Collaborate with IT and lab teams; model experiment workflows and ML-ready data.
• Develop code enhancements to expand databases and curate data at source.

Connaissances

Data modeling

Data governance

SAFe

Self-service analytics

Stakeholder collaboration

Formation

Bachelor's degree in Biology, Chemistry, Life Sciences, Biotechnology, or related field

Outils

Sapio

Benchling

Dotmatics

Description du poste

Regeneron Pharmaceuticals, Inc. is seeking a Data Champion for the Protein Expression Sciences team. The role is on-site in Tarrytown, NY, focusing on architecting data models and data flows across lab systems and data lakes to enable self-service analytics.

You will drive data quality, lineage, metadata and catalog standards, partnering with Research IT and other departments to deliver scalable, compliant data platforms and workflows.