Senior Imaging AI Scientist — Oncology (Hybrid)

Johnson & Johnson Co.

Cambridge (MA)

On-site

USD 109,000 - 175,000

Full time

5 days ago
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Benefits offered by this job

Vacation 120 hours
Sick time
Holiday pay
Parental Leave
Bereavement Leave
Volunteer Leave
Spousal Time-Off

Job summary

Johnson & Johnson is seeking a Senior Scientist, Imaging Analytics to join INTO and support the application of medical imaging AI across an early-oncology portfolio. You will transform trial CT/MRI/PET scans into evidence-based clinical decisions, advance imaging AI capabilities, and deliver insights for dose optimization and go/no-go decisions.

This high-impact role bridges data science, clinical development, and external partners, with base locations including New Brunswick/NJ; Spring

Qualifications

  • PhD in a quantitative field with strong imaging background.
  • Hands-on imaging AI stack experience including segmentation, detection, classification and registration.
  • Proficiency in Python and PyTorch with medical imaging libraries.
  • Experience with cloud ML infrastructure and MLOps.

Responsibilities

  • Develop imaging AI and analytics to derive quantitative imaging measures and AI-derived endpoints.
  • Collaborate to drive scientific innovation in imaging AI for oncology drug development.
  • Provide leadership to external partnerships to accelerate model development and deployment.
  • Publish and present scientific innovations at major conferences.

Skills

Imaging AI stack
Python
PyTorch
MONAI
SimpleITK
ITK
PyRadiomics
nnU-Net
3D Slicer
OpenCV
Cloud ML / MLOps
DICOM I/O / 3D imaging workflows
Scientific communication

Education

Ph.D. in Computer Science / Biomedical Engineering / Electrical Engineering or related quantitative field

Tools

MONAI
SimpleITK
ITK
PyRadiomics
nnU-Net
3D Slicer
OpenCV

Job description

Johnson & Johnson is seeking a Senior Scientist, Imaging Analytics to join INTO and support the application of medical imaging AI across an early-oncology portfolio. You will transform trial CT/MRI/PET scans into evidence-based clinical decisions, advance imaging AI capabilities, and deliver insights for dose optimization and go/no-go decisions.

This high-impact role bridges data science, clinical development, and external partners, with base locations including New Brunswick/NJ; Spring

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