Principal Data Engineer, AI for Oncology

Johnson Johnson

Titusville (NJ)

On-site

USD 120,000 - 180,000

Full time

8 days ago
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Job summary

Johnson & Johnson Innovative Medicine is recruiting a Principal Developer, Oncology Data & AI Systems to strengthen the AI-ready data foundation for Oncology R&D. You will lead data capture modernization and design scalable pipelines that support high-quality, interoperable datasets for AI/ML.

This role focuses on data science initiatives across Clinical, Pre-Clinical, RWD and omics platforms, enabling trusted datasets and foundational data products that accelerate insights and model

Qualifications

  • Bachelor's degree in relevant field required or higher.
  • 5+ years of experience in data engineering with data modeling and database architecture.
  • Proficiency in Python, R and SQL for data engineering.

Responsibilities

  • Partner with Oncology R&D and Data Science stakeholders to identify, prioritize, and deliver high-impact data, AI/ML, and GenAI use cases.
  • Own the end-to-end design, build, and lifecycle management of Oncology R&D data products, including requirements, architecture, ETL/ELT development, documentation, and operational support.
  • Integrate multi-modal R&D data across biomarker labs, clinical trials, real-world data/evidence, and omics to create trusted, reusable datasets.
  • Co-develop an AI-ready data ecosystem with Data Product Engineers, Data Scientists, Knowledge Graph Engineers, EA, and IT teams.
  • Translate complex scientific, clinical, and operational needs into scalable engineering solutions ensuring interoperability and standards.
  • Design and optimize data pipelines for structured and unstructured data using Python, R, SQL and AWS to improve throughput and reliability.
  • Implement data quality and monitoring frameworks with KPI-driven evaluation of data product performance.
  • Establish data governance by maintaining data lineage, metadata, versioning, and compliance with internal and regulatory standards.

Skills

Data engineering
Data modeling
Schema design

Education

Bachelor's Degree in Computer Science, Engineering, Life Sciences, or other relevant field

Tools

Python
R
SQL

Job description

Johnson & Johnson Innovative Medicine is recruiting a Principal Developer, Oncology Data & AI Systems to strengthen the AI-ready data foundation for Oncology R&D. You will lead data capture modernization and design scalable pipelines that support high-quality, interoperable datasets for AI/ML.

This role focuses on data science initiatives across Clinical, Pre-Clinical, RWD and omics platforms, enabling trusted datasets and foundational data products that accelerate insights and model

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