Principal Scientist, Data Science – R&d Dsdh - Therapeutics Development & Supply (tds)

Johnson & Johnson

Cambridge, Massachusetts, United States of America
Base: $117,000.00 - $201,250.00; bonus/equity: not...
On-site
Design, build, and maintain scalable data pipelines
Python, r, sql, and cloud-based architectures
Data modeling and database design
Johnson & Johnson is seeking a Principal Scientist in Data Science for their R&D Therapeutics Development & Supply team. The role involves designing and optimizing data systems for advanced analytics and AI applications to support healthcare innovation

Job Summary

  • Design, build, and optimize data capture, processing, and storage solutions for advanced analytics and AI/ML applications.
  • Create robust, future-proof data systems, engineering workflows, and high-value data repositories supporting scientific, technical, and operational decision-making.
  • 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.

Matching Summary

Match Score: 85

Johnson & Johnson is seeking a Principal Scientist in Data Science for their R&D Therapeutics Development & Supply team. The role involves designing and optimizing data systems for advanced analytics and AI applications to support healthcare innovation.

Salary

Base: $117,000.00 - $201,250.00; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Design, build, and maintain scalable data pipelines
  • Python, R, SQL, and cloud-based architectures
  • Data modeling and database design
  • Data quality and performance standards
  • Software development best practices

Nice-to-have

  • Experience with regulated data environments
  • Familiarity with high-dimensional data
  • Knowledge of manufacturing systems
  • Exposure to knowledge graph architectures

Key Requirements

  • 3+ years of experience in data engineering
  • Advanced degree in Engineering, Data Science, Life Sciences, Computer Science, or related field
  • Proficiency with Python, R, SQL
  • Experience with cloud-based architectures (e.g., AWS services, Snowflake, Redshift)
  • Experience with NoSQL and graph databases

Work Rights

Not specified

Tailored Resume

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