Lead Data Engineer, Oncology AI & Data Systems

6084-Janssen Research & Development, LLC Legal Entity

Titusville (NJ)

On-site

USD 117,000 - 201,000

Full time

4 days ago
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Job summary

Johnson & Johnson is seeking a Principal Developer, Oncology Data & AI Systems to lead data engineering efforts across clinical and pre-clinical R&D. You will design scalable data pipelines, ensure data quality and governance, and enable AI-ready datasets for advanced analytics.

Location options include Cambridge, MA; Spring House, PA; Titusville, NJ; Raritan, NJ; or San Diego, CA with no remote option. 5+ years of data engineering in healthcare is preferred.

Qualifications

  • Bachelor's degree required; advanced degree preferred.
  • 5+ years of data engineering experience in healthcare or similar.
  • Proficient in Python, R, SQL for data processing and automation.
  • Experience with cloud-based data platforms, preferably AWS.
  • Experience with multiple data storage patterns (relational, NoSQL, graph).
  • Strong analytical and problem-solving skills; able to troubleshoot pipelines.

Responsibilities

  • Own end-to-end data product design and lifecycle management.
  • Build and optimize data pipelines for structured and unstructured data.
  • Collaborate with cross-functional teams to translate requirements into engineering solutions.
  • Ensure data governance, lineage, metadata, and quality controls.
  • Enable scalable analytics, ML/GenAI applications, and reproducible workflows.

Skills

Python
R
SQL
Data Modeling
Data Analysis

Education

Bachelor's in CS/Eng/Life Sciences

Tools

AWS (Redshift)
ETL/ELT tools
Git

Job description

Johnson & Johnson is seeking a Principal Developer, Oncology Data & AI Systems to lead data engineering efforts across clinical and pre-clinical R&D. You will design scalable data pipelines, ensure data quality and governance, and enable AI-ready datasets for advanced analytics.

Location options include Cambridge, MA; Spring House, PA; Titusville, NJ; Raritan, NJ; or San Diego, CA with no remote option. 5+ years of data engineering in healthcare is preferred.

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