Principal Developer, Oncology Data & AI Systems (2 available)

Role: Principal Developer, Oncology Data & AI Systems, tasked with building and managing an AI-ready data foundation for Oncology R&D at Johnson & Johnson. Responsibilities include designing scalable data pipelines, harmonizing multi-modal datasets across clinical, pre-clinical, and ‘omics platforms, and developing foundational data products to enable AI/ML and GenAI applications. The position involves translating scientific and operational needs into robust engineering solutions, ensuring data quality, governance, and interoperability. Collaboration spans Data Science, Data Engineering, Knowledge Graph, and IT teams, with a focus on accelerating scientific discovery and decision-making in oncology. Requirements: Bachelor's in Computer Science, Engineering, Life Sciences, or relevant field; 5+ years in data engineering with healthcare experience; proficiency in Python, R, SQL; experience with cloud platforms like AWS; familiarity with diverse data storage technologies, data governance, and regulatory standards. Preferred skills include healthcare data standards (e.g., FHIR, HL7), imaging data handling, and MLOps. The role is based in one of several U.S. locations (Cambridge, Spring House, Titusville, Raritan, San Diego) with up to 15% travel, no remote option. The position focuses on advancing Oncology R&D through innovative data solutions that support scientific and clinical objectives.