Principal Data Engineer – Safety Analytics; Global Medical Safety
Listed on 2026-09-14
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IT/Tech
AI Engineer (Applied/Software), Data Science Manager, Data Engineering, Data Scientist
Role
Principal Data Engineer supporting Global Medical Safety within Johnson & Johnson's Innovative Medicine division. Focused on building and maintaining advanced safety analytics tools using AI, Machine Learning, and GenAI on Google Cloud Platform (GCP).
Responsibilitieslead end-to-end data architecture for safety data, design and optimize scalable data pipelines, ensure data quality, governance, and compliance including GxP validation; develop APIs and microservices for safety analytics; implement infrastructure via Terraform, and establish CI/CD pipelines. Serve as a technical leader collaborating with safety scientists, data scientists, and IT teams to enable predictive pharmacovigilance capabilities.
RequirementsMaster's in Computer Science, Engineering, or related field; 5+ years in data/analytics engineering; proficiency in Python, SQL; experience with cloud-based data architecture, APIs, microservices, and GCP preferred.
Qualificationsdeep understanding of data modeling, validation, governance, and GxP compliance; experience in regulated healthcare domains and AI/ML workflows including GenAI is advantageous.
LocationHorsham, PA or Titusville, NJ, with hybrid/remote considerations; travel not specified.
High Valuehealthcare analytics, pharmacovigilance, GCP, AI/ML, GxP validation, APIs, microservices, regulated pharma environment.
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