Principal Scientist, Computational Pathobiologist

Johnson & Johnson

La Jolla, California, United States of America
Base: $117,000 to $201,250; bonus: eligible for an...
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6+ years biomedical multimodal data experience
Python and/or r programming fluency
Agentic ai and generative ai workflow automation
** Johnson & Johnson is seeking a Principal Scientist, Computational Pathobiologist to lead the digital transformation of pathobiology data within their Preclinical Sciences and Translational Safety department. The role involves developing data pipelines, applying advanced analytics, and collaborating across teams to enhance translational safety in drug development. **

Job Summary

  • The role involves shaping the digital transformation vision for Pathobiology by building scalable data pipelines and AI-enabled analytics to transform nonclinical data into decision-ready insights.
  • Candidates will apply advanced machine learning and statistical methods to generate mechanistically grounded adverse outcome pathways and identify translationally relevant safety biomarkers.
  • Johnson & Johnson offers a competitive base pay range of $117,000 to $201,250 along with comprehensive benefits including performance bonuses, retirement plans, and extensive paid time off.

Matching Summary

Match Score: 75

** Johnson & Johnson is seeking a Principal Scientist, Computational Pathobiologist to lead the digital transformation of pathobiology data within their Preclinical Sciences and Translational Safety department. The role involves developing data pipelines, applying advanced analytics, and collaborating across teams to enhance translational safety in drug development. **

Salary

Base: $117,000 to $201,250; Bonus: Eligible for annual performance bonus; Benefits: Medical, dental, vision, 401(k), pension, and various leave policies

Skills & Requirements

Must-have

  • 6+ years biomedical multimodal data experience
  • Python and/or R programming fluency
  • Agentic AI and generative AI workflow automation
  • Cloud computing deployment (GCP, Azure, AWS)
  • Machine learning and statistical modeling expertise
  • Data visualization and dashboarding tools

Nice-to-have

  • Familiarity with medical terminology standards
  • SAS proficiency in biopharmaceutical industry
  • Digital image analysis and multi-Omics knowledge
  • Leadership of AI and automation projects
  • Publication and public speaking record
  • Experience with immunology and biomarkers

Key Requirements

  • Master's degree required; PhD preferred
  • Minimum 6 years applying data science to biomedical data
  • Fluency in Python and/or R programming languages
  • Experience with cloud platforms like GCP, Azure, or AWS
  • Strong foundation in AI, Machine Learning, and Statistics

Work Rights

Not specified

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