Associate Director, Oncology Ai Imaging Biomarkers
J&J FAMILY OF COMPANIES
Spring House, Pennsylvania, United States of America
Base: $137,000 to $235,750; bonus/equity: annual p...
Hybrid
Digital image analysis
Computer vision
Ai/ml applications in pathology
Johnson & Johnson is seeking an Associate Director for Oncology AI Imaging Biomarkers to enhance their Oncology R&D portfolio through AI-driven biomarker development. The ideal candidate will have expertise in digital image analysis, computer vision, and AI applications in pathology, as well as a strong background in pharmaceutical R&D
Job Summary
Our Oncology team is focused on the elimination of cancer by discovering new pathways and modalities to finding treatments and cures.
You will support the strategic and technical advancement of AI-based biomarkers within J&J’s Oncology R&D portfolio and integrate insights into drug development strategies.
Johnson & Johnson offers competitive compensation, comprehensive benefits, and an inclusive work environment respecting diversity and dignity.
Matching Summary
Match Score: 85
Johnson & Johnson is seeking an Associate Director for Oncology AI Imaging Biomarkers to enhance their Oncology R&D portfolio through AI-driven biomarker development. The ideal candidate will have expertise in digital image analysis, computer vision, and AI applications in pathology, as well as a strong background in pharmaceutical R&D.
Salary
Base: $137,000 to $235,750; Bonus/Equity: Annual performance bonus discretionary; Benefits: Medical, dental, vision, life insurance, disability, retirement plans, paid time off
Skills & Requirements
Must-have
digital image analysis
computer vision
AI/ML applications in pathology
oncology computer vision applications
collaboration with cross-functional teams
AI-driven image analysis workflows
Nice-to-have
project delivery and vendor management
diagnostic product development knowledge
healthcare dataset analysis
entrepreneurial skills
strategic and technical partner engagement
multimodal data integration
Key Requirements
PhD or equivalent advanced degree in quantitative discipline
5+ years pharmaceutical, biotech, or diagnostics R&D experience
direct experience in computational pathology and AI-enabled diagnostic product development
experience in matrixed organizations
ability to influence strategic and technical partners