Imaging AI Scientist for Oncology Trials

Johnson & Johnson Co.

Raritan (NJ)

Sur place

USD 117 000 - 201 000

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Avantages offerts par ce poste

Vacation –120 hours per year
Sick time – 40 hours per year
Holiday pay – 13 days per year
Parental Leave – 480 hours per year
Bereavement Leave – 240 hours per year

Résumé du poste

Johnson & Johnson seeks a Principal Scientist in Imaging Analytics to join Interventional Oncology. You will lead the scientific application of medical imaging AI across early-phase oncology trials, turning CT/MRI/PET scans into evidence-based development decisions.

You will advance imaging-AI capabilities, develop quantitative imaging metrics, and collaborate with data science, clinical development, external partners, and CROs to accelerate model deployment and impact patient care.

Qualifications

  • PhD in Computer Science, Biomedical Engineering, Electrical Engineering, or a related quantitative field.
  • 3+ years post-doctoral or industry AI/ML experience for medical imaging in a clinical setting.
  • Proficiency in Python and PyTorch with MONAI, SimpleITK, ITK, PyRadiomics, nnU-Net, 3D Slicer, OpenCV.

Responsabilités

  • Lead end-to-end AI applications on oncology trial imaging (CT, MRI, PET) for quantitative measures and AI endpoints.
  • Collaborate to drive scientific innovation in imaging AI for oncology drug development, including segmentation and radiomics.
  • Translate imaging findings into clear narratives for cross-functional stakeholders.
  • Provide scientific leadership to external partners—vendors, CROs, labs—to accelerate model development and deployment.
  • Publish and present innovations at MICCAI, AACR, RSNA, and similar venues.

Connaissances

Python
PyTorch
MONAI
SimpleITK
ITK
PyRadiomics
nnU-Net
3D Slicer
OpenCV

Formation

PhD in Computer Science / Biomedical Engineering / Electrical Engineering or related quantitative field

Outils

Python
PyTorch
MONAI
SimpleITK
ITK
PyRadiomics
nnU-Net
3D Slicer
OpenCV

Description du poste

Johnson & Johnson seeks a Principal Scientist in Imaging Analytics to join Interventional Oncology. You will lead the scientific application of medical imaging AI across early-phase oncology trials, turning CT/MRI/PET scans into evidence-based development decisions.

You will advance imaging-AI capabilities, develop quantitative imaging metrics, and collaborate with data science, clinical development, external partners, and CROs to accelerate model deployment and impact patient care.

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