✦ Luna Orbit — Data & Analytics

Associate Director, Oncology AI Imaging Biomarkers

at Johnson & Johnson

📍 6 Locations Hybrid 💰 $137K – $235K USD / year Posted March 13, 2026
Salary $137K – $235K USD / year
Type Full-Time
Experience mid
Exp. Years Not specified
Education Not specified
Category Data & Analytics

Supports the development and validation of AI-based biomarkers in oncology using digital image analysis and machine learning techniques.

  • Develop AI/ML models for digital pathology
  • Validate AI-driven biomarkers
  • Support drug development strategies
  • Collaborate with oncology teams
  • Enhance digital image analysis

Focuses on AI/ML applications in digital pathology, image analysis, and biomarker validation within oncology research.

The ideal candidate is an experienced data scientist or computational biologist with expertise in AI and machine learning applications in digital pathology and oncology. They should have a strong background in image analysis and supporting biomarker validation studies.

Deep expertise in digital image analysisExperience with AI/ML applications in pathologySupport validation studies for AI-driven biomarkers
Experience in oncology researchKnowledge of drug development processesExperience with digital pathology platforms
AI frameworks (TensorFlowPyTorch)Digital pathology toolsImage analysis software
AIArtificial IntelligenceMachine LearningComputer VisionDigital Image AnalysisPathologyBiomarkersData Science
AIArtificial IntelligenceMachine LearningComputer VisionDigital Image AnalysisPathologyBiomarkersData Science
Analytical ThinkingCollaborationCommunicationProblem-solvingInnovation
Industry Healthcare IT
Job Function AI and data science in healthcare research
Role Subtype Data & Analytics
Tech Domains Artificial Intelligence, Machine Learning, Pathology
AIArtificial IntelligenceMachine LearningComputer VisionDigital Image AnalysisPathologyBiomarkersData ScienceAI/ML applicationsDigital pathologyOncologyDrug developmentSupport validation studiesAI-driven biomarkersSupport drug development

Lack of experience in digital image analysis, No background in AI/ML in healthcare, Unwillingness to work in a hybrid environment

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