Manager, Data Science - Oncology

J&J FAMILY OF COMPANIES

Spring House, Pennsylvania, United States of America
Base: $117,000 to $201,250; bonus/equity: annual p...
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Data pipeline design and development
Cloud architecture with aws services
Data modeling and database design
** Johnson & Johnson is seeking a Manager, Data Science - Oncology to join their Data Science and Digital Health team. This role involves leading and developing data engineering solutions for Oncology R&D, with a focus on optimizing data workflows and ensuring high-quality data products. **

Job Summary

  • Johnson & Johnson is committed to building innovative healthcare solutions that prevent, treat, and cure complex diseases with a focus on patient-centered advancements.
  • The Manager, Data Science - Oncology will lead and contribute hands-on to develop and maintain data pipelines and repositories supporting Oncology R&D across multiple data sources and platforms.
  • Employees benefit from competitive compensation, performance bonuses, comprehensive health and retirement plans, and inclusive workplace policies with opportunities for periodic travel.

Matching Summary

Match Score: 75

** Johnson & Johnson is seeking a Manager, Data Science - Oncology to join their Data Science and Digital Health team. This role involves leading and developing data engineering solutions for Oncology R&D, with a focus on optimizing data workflows and ensuring high-quality data products. **

Salary

Base: $117,000 to $201,250; Bonus/Equity: Annual performance bonus discretionary; Benefits: Medical, dental, vision, life insurance, disability, retirement plans, paid time off

Skills & Requirements

Must-have

  • data pipeline design and development
  • cloud architecture with AWS services
  • data modeling and database design
  • Python, R, and SQL proficiency
  • AI-ready data system development
  • people leadership in technical teams

Nice-to-have

  • experience with healthcare data standards
  • knowledge of machine learning operations
  • handling high dimensional and imaging data
  • stakeholder management and business analysis
  • inclusive leadership and proactive behavior

Key Requirements

  • Advanced degree in Computer Science, Engineering, or Life Sciences preferred
  • 5+ years experience in data engineering in healthcare
  • 2+ years managing technical teams delivering data systems
  • Proficiency with AWS cloud services and data engineering tools
  • Willingness to travel up to 15% of time

Work Rights

Not specified

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