Principal Scientist, Data Science – R&d Dsdh - Therapeutics Development & Supply (tds)
Johnson & Johnson
Spring House, PA, USA
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Design, build, and optimize data capture
Enable advanced analytics, digital process transformation
Ai/ml applications across the development‑to‑supply continuum
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Johnson & Johnson is seeking a Principal Scientist in Data Science for their R&D Therapeutics Development & Supply (TDS) division. The role involves designing and optimizing data pipelines and systems to support advanced analytics and AI applications in healthcare.
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Job Summary
Design, build, and optimize data capture, processing, and storage solutions that enable advanced analytics, digital process transformation, and AI/ML applications across the development‑to‑supply continuum for Therapeutics Development & Supply (TDS).
Create and optimize data flows for structured and unstructured data using Python, R, SQL, cloud services, and other modern engineering tools.
This is a rare opportunity to grow in one of the world’s most ambitious and fast growing R&D Data Science organizations, shaping how Therapeutics Development & Supply data powers next‑generation therapies in the largest biomedical company on the planet.
Matching Summary
Match Score: 75
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Johnson & Johnson is seeking a Principal Scientist in Data Science for their R&D Therapeutics Development & Supply (TDS) division. The role involves designing and optimizing data pipelines and systems to support advanced analytics and AI applications in healthcare.
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Skills & Requirements
Must-have
design, build, and optimize data capture
enable advanced analytics, digital process transformation
AI/ML applications across the development‑to‑supply continuum
AI‑ready data pipelines and data products
Python, R, SQL, and cloud-based architectures
NoSQL and graph databases
Nice-to-have
regulated or standards-driven data environments
knowledge graph or ontology‑driven architectures
high‑dimensional data
MLOps and model deployment workflows
Key Requirements
3+ years of experience in data engineering
Advanced degree in Engineering, Data Science, Life Sciences, Computer Science, or related field
Strong analytical, problem‑solving, and stakeholder‑management skills