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Senior Scientist, Multi-Omics Analytics

LinkedIn Johnson & Johnson Innovative Medicine San Diego, CA
Not Applicable Posted April 4, 2026 Job link
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Requirements
  • Ph.D. in Bioinformatics, Computational Biology, Data Science, Biomedical Engineering, Computer Science, Artificial Intelligence or a related field.
  • 2+ years postdoctoral or industry experience in large-scale omics data analysis (eg. proteomics, transcriptomics, genomics), preferably in clinical studies.
  • Strong background in AI/ML modeling for identifying pharmacodynamic signatures, treatment response signatures, disease signatures, and biological pathways, uncovering mechanistic insights linking to clinical outcomes.
  • Demonstrated technical expertise in high-performance and cloud computing, workflow design, and pipeline development and optimization.
Preferred Skills
  • Background in clinical omics, biomarker identification, and translational medicine.
  • Experience with network/pathway analysis, predictive modeling, mediation analysis and causal inference.
  • Familiarity with multi-omics models and integrating data across multiple platforms, datasets and batches.
  • Experience in defining research strategies and setting project milestones to drive innovation.
  • Excellent written and oral communication skills for multidisciplinary audiences.
  • Track record of impactful research with publications in top-tier journals.
  • Advanced Analytics, Business Intelligence (BI), Coaching, Collaborating, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis
Education
  • (Required) – Required:
  • (Not required) – Ph.D. in Bioinformatics, Computational Biology, Data Science, Biomedical Engineering, Computer Science, Artificial Intelligence or a related field.
  • (Not required) – 2+ years postdoctoral or industry experience in large-scale omics data analysis (eg. proteomics, transcriptomics, genomics), preferably in clinical studies.