Principal Data Scientist, R&d Oncology

Johnson & Johnson Innovative Medicine

Spring House, Pennsylvania, United States of America
Base: $117,000 to $201,250; bonus/equity: eligible...
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Python, r, and sql for data processing
Aws services (redshift, fsx, glue, lambda)
Data pipelines for oncology r&d data
** Johnson & Johnson Innovative Medicine is seeking a Principal Data Scientist for their R&D Oncology team, focused on developing and optimizing data workflows and engineering solutions to enhance oncology research. The ideal candidate will have a strong background in data engineering, particularly in healthcare, and will work closely with various teams to ensure high-quality data products. **

Job Summary

  • The Principal Data Scientist will support advancing data capture, building and optimizing data workflows, and storing data by designing and implementing engineering requirements for Oncology R&D.
  • This role will focus on applications in Oncology R&D, supporting data projects from Clinical, Pre-Clinical, RWD, and 'omics platforms, and will be a leading technical contributor in developing AI-ready data.
  • The company offers a competitive compensation program including an annual performance bonus and a comprehensive benefits package including medical, dental, vision, disability, and retirement plans.

Matching Summary

Match Score: 75

** Johnson & Johnson Innovative Medicine is seeking a Principal Data Scientist for their R&D Oncology team, focused on developing and optimizing data workflows and engineering solutions to enhance oncology research. The ideal candidate will have a strong background in data engineering, particularly in healthcare, and will work closely with various teams to ensure high-quality data products. **

Salary

Base: $117,000 to $201,250; Bonus/Equity: Eligible for annual performance bonus; Benefits: Medical, dental, vision, life insurance, disability, business accident insurance, group legal insurance, pension, 401(k)

Skills & Requirements

Must-have

  • Python, R, and SQL for data processing
  • AWS services (Redshift, FSx, Glue, Lambda)
  • Data pipelines for Oncology R&D data
  • AI-ready data systems design
  • Cloud-based technology platform utilization
  • Data versioning and lineage tracking

Nice-to-have

  • Healthcare data standards experience
  • High dimensional data handling
  • Machine learning operations (MLOps)

Key Requirements

  • 3+ years of experience in data engineering
  • Advanced degree (Master’s or equivalent) preferred
  • Experience with unstructured and other database types
  • Proven record leading improvement initiatives
  • Demonstrated stakeholder management capabilities

Work Rights

Not specified

Tailored Resume

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