Principal Scientist, Imaging Analytics
Johnson & Johnson · Somerville, MA
FULL-TIME
Posted Jul 2, 2026
118,110–137,794 a year
Job Description
Experteer Overview
As Principal Scientist, Imaging Analytics, you advance AI-enabled imaging for oncology trials and help drive evidence-based development decisions. You will bridge data science, clinical development, and external partners to translate imaging insights into actionable clinical outcomes. You lead end-to-end AI applications on trial imaging data and help scale foundational imaging AI capabilities across the portfolio. This role offers high visibility with the chance to shape oncology imaging strategies and deliver real-world impact in cancer care. You will work in a collaborative environment that values scientific rigor and cross-functional partnership.
Compensation / Benefits
• Lead end-to-end AI applications on trial imaging data (CT, MRI, PET) for quantitative imaging measures and AI-derived endpoints
• Collaborate to drive scientific innovation in foundational imaging AI relevant to oncology drug development, including automated segmentation, radiomics, and multimodal predictive modeling
• Translate imaging-derived evidence into actionable insights by presenting complex findings to cross-functional stakeholders
• Provide scientific leadership for external partnerships with imaging AI vendors, CROs, biomarker companies, academic centers, and imaging OEMs
• Publish and present scientific innovations at top conferences (e.g., MICCAI, AACR, RSNA)
Tasks
• Ph.D. in Computer Science, Biomedical Engineering, Electrical Engineering, or related quantitative field
• 3+ years post-doctoral or industry experience developing AI/ML for medical imaging (CT, MRI, PET) in a clinical setting
• Hands-on expertise across the medical imaging AI stack (deep learning, radiomics, multimodal modeling)
• Proficiency in Python and PyTorch; experience with MONAI, SimpleITK, ITK, PyRadiomics, nnU-Net, 3D Slicer, OpenCV
• Experience with cloud ML infrastructure and MLOps for imaging data
• Extensive experience with DICOM I/O, visualization, registration, harmonization, annotation, and segmentation of 3D images
• Strong peer-reviewed publication record and ability to communicate complex concepts to technical and cross-functional audiences
Key requirements
• Consolidated pension plan
• 401(k) savings plan
• Vacation 120 hours per year
• Parental Leave 480 hours within one year
• Holiday pay and floating holidays
• Volunteer Leave 32 hours per year
As Principal Scientist, Imaging Analytics, you advance AI-enabled imaging for oncology trials and help drive evidence-based development decisions. You will bridge data science, clinical development, and external partners to translate imaging insights into actionable clinical outcomes. You lead end-to-end AI applications on trial imaging data and help scale foundational imaging AI capabilities across the portfolio. This role offers high visibility with the chance to shape oncology imaging strategies and deliver real-world impact in cancer care. You will work in a collaborative environment that values scientific rigor and cross-functional partnership.
Compensation / Benefits
• Lead end-to-end AI applications on trial imaging data (CT, MRI, PET) for quantitative imaging measures and AI-derived endpoints
• Collaborate to drive scientific innovation in foundational imaging AI relevant to oncology drug development, including automated segmentation, radiomics, and multimodal predictive modeling
• Translate imaging-derived evidence into actionable insights by presenting complex findings to cross-functional stakeholders
• Provide scientific leadership for external partnerships with imaging AI vendors, CROs, biomarker companies, academic centers, and imaging OEMs
• Publish and present scientific innovations at top conferences (e.g., MICCAI, AACR, RSNA)
Tasks
• Ph.D. in Computer Science, Biomedical Engineering, Electrical Engineering, or related quantitative field
• 3+ years post-doctoral or industry experience developing AI/ML for medical imaging (CT, MRI, PET) in a clinical setting
• Hands-on expertise across the medical imaging AI stack (deep learning, radiomics, multimodal modeling)
• Proficiency in Python and PyTorch; experience with MONAI, SimpleITK, ITK, PyRadiomics, nnU-Net, 3D Slicer, OpenCV
• Experience with cloud ML infrastructure and MLOps for imaging data
• Extensive experience with DICOM I/O, visualization, registration, harmonization, annotation, and segmentation of 3D images
• Strong peer-reviewed publication record and ability to communicate complex concepts to technical and cross-functional audiences
Key requirements
• Consolidated pension plan
• 401(k) savings plan
• Vacation 120 hours per year
• Parental Leave 480 hours within one year
• Holiday pay and floating holidays
• Volunteer Leave 32 hours per year
Benefits
- Paid time off
- Health insurance
Additional Details
- City
- Somerville
- State
- Massachusetts
- Country
- US
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