Director, Scientific Computing Operations

Johnson & Johnson

Raritan, New Jersey, United States of America
Base: $164,000 - $282,900; bonus/equity: annual pe...
Hybrid
Scientific computing platform ownership
Analytics and ai platform strategy
Cloud and hpc infrastructure
Johnson & Johnson is seeking a Director of Scientific Computing Operations to lead the strategy and implementation of scientific computing, analytics, and AI platforms in their Innovative Medicine sector. This leadership role requires extensive experience in scientific computing and collaboration across various departments, aiming to enhance operational excellence and decision-making through advanced technologies

Job Summary

  • The Director, Scientific Computing Operations is responsible for the strategy, delivery, adoption, and operational excellence of scientific computing, analytics, and AI-enabled platforms that underpin Statistics & Decision Sciences (SDS) and Quantitative Sciences and Clinical Pharmacology (QSCP) decision-making.
  • This role owns the end-to-end lifecycle of scientific computing platforms and solution architecture, ensuring scalability, regulatory readiness, security, and alignment with enterprise technology and business priorities.
  • The anticipated base pay range for this position in the US is $164,000 to $282,900, with eligibility for annual performance bonuses and a comprehensive benefits package.

Matching Summary

Match Score: 85

Johnson & Johnson is seeking a Director of Scientific Computing Operations to lead the strategy and implementation of scientific computing, analytics, and AI platforms in their Innovative Medicine sector. This leadership role requires extensive experience in scientific computing and collaboration across various departments, aiming to enhance operational excellence and decision-making through advanced technologies.

Salary

Base: $164,000 - $282,900; Bonus/Equity: Annual performance bonus; Benefits: Medical, dental, vision, retirement plan, 401(k), paid time off

Skills & Requirements

Must-have

  • Scientific computing platform ownership
  • Analytics and AI platform strategy
  • Cloud and HPC infrastructure
  • Regulatory readiness and compliance
  • Cross-functional team leadership
  • Stakeholder engagement and communication

Nice-to-have

  • Driving innovation and value realization
  • Ethical and transparent AI capabilities
  • Enterprise technology alignment
  • Fast-paced environment adaptability

Key Requirements

  • Master's degree in Computer Science, Data Science, Statistics, or related quantitative field with 12+ years of experience
  • Ph.D. in Computer Science, Data Science, Statistics, or related quantitative field with 10+ years of experience preferred
  • 4-6 years of people leadership experience preferred
  • Ability to travel at least 10% domestically and internationally

Work Rights

Not specified

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