Senior Scientist, Multi-omics Analytics

Johnson & Johnson

Spring House, PA, United States of America
Base: $109,000 - $174,800; bonus/equity: not speci...
Hybrid
Large-scale omics data analysis
Ai/ml model development
Multi-omics data integration
Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide and is committed to advancing precision medicine through innovative computational biology and multi-omics analytics

Job Summary

  • Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide and is committed to advancing precision medicine through innovative computational biology and multi-omics analytics.
  • The Senior Scientist will lead the design and optimization of scalable pipelines integrating genomics, transcriptomics, proteomics, and clinical metadata to generate actionable insights for clinical development.
  • Employees are eligible for comprehensive benefits including medical, dental, vision, life insurance, disability coverage, retirement plans, and generous time off policies.

Matching Summary

Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide and is committed to advancing precision medicine through innovative computational biology and multi-omics analytics.

Salary

Base: $109,000 - $174,800; Bonus/Equity: Not specified; Benefits: Medical, dental, vision, life insurance, disability, retirement plans, paid time off

Skills & Requirements

Must-have

  • Large-scale omics data analysis
  • AI/ML model development
  • Multi-omics data integration
  • Computational pipeline design
  • High-performance and cloud computing
  • Clinical study data analytics

Nice-to-have

  • Translational medicine experience
  • Network and pathway analysis
  • Predictive modeling and causal inference
  • Cross-functional collaboration
  • Strong communication skills
  • Research strategy and project leadership

Key Requirements

  • Ph.D. in related field
  • 2+ years postdoctoral or industry experience
  • Experience in clinical omics data analysis
  • Expertise in AI/ML modeling for biological signatures
  • Technical leadership and project management
  • Strong publication record

Work Rights

Not specified

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