We are seeking a Data Architect to design, implement, and maintain the foundational  data infrastructure that powers Boulder Biologic's research, manufacturing, and AI initiatives.

This role focuses on system architecture, data integration, and R&D data extraction, ensuring that complex laboratory and clinical data are captured, structured, and made analysis-ready for scientific, regulatory, and AI applications.

You will work closely with scientists, engineers, and regulatory staff to translate experimental processes into unified, metadata-rich data systems that serve as the backbone for Boulder Biologic's AI and translational research workflows.

BS/MS in Computer Science, Data Architecture, Bioinformatics, or related discipline.

5+ years of experience in data architecture, integration, or engineering, preferably in biotech or R&D environments.

Strong background in data modeling, schem design, and pipeline development (Snowflake, SQL, Python, Node.js).

Proven ability to integrate multi-modal laboratory and scientific data from diverse platforms.

Familiarity with AI/ML data workflows (training, labeling, validation).

Experience implementing cloud-based data systems (AWS, Azure, or GCP).

Familarity with 21 CFR and/or AABB standards for cellular therapy services.

LIMS/QMS integration and laboratory automation experience.

Knowledge of scientific ontologies, metadata standards, and knowledge-graph systems.

Experience with biomedical data curation or NLP tools.