Principal Scientist, Imaging Analytics

Johnson & Johnson

. Lead end-to-end AI applications on CT, MRI, and PET trial imaging data for quantitative imaging measures and AI-derived endpoints .

Posted 10/22/2026full-timeUnited StatesLead💰 $117,000 - $201,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing AI applications for medical imaging, particularly in CT, MRI, and PET, with a strong focus on deep learning, radiomics, and predictive modeling. Proven ability to lead scientific initiatives and communicate complex concepts effectively to diverse stakeholders.

Highest-signal resume keywords

Ph.D. In Computer ScienceAI/ML Development For Medical ImagingDeep Learning ExpertiseProficiency In Python And PyTorchExperience With DICOM I/O

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Automated SegmentationRadiomicsMultimodal Predictive ModelingCloud ML InfrastructureMLOps Practices3D Medical Image SegmentationModel Development And ValidationScientific PublicationData AnnotationImage Registration

Soft Skills

Scientific LeadershipCommunication Of Complex ConceptsCollaboration With Cross-Functional Stakeholders

Tools & Technologies

MONAISimpleITKITKPyRadiomicsNnU-Net3D SlicerOpenCV

Industry Keywords

Quantitative Imaging MeasuresAI-Derived EndpointsOncology Drug DevelopmentPeer-Reviewed Publication Record

Tech Stack

Tools & technologies

CloudPythonPyTorch

About the role

Key responsibilities & impact

Lead end-to-end AI applications on CT, MRI, and PET trial imaging data for quantitative imaging measures and AI-derived endpoints
Collaborate internally and externally on foundational imaging AI for oncology drug development
Conduct hands-on research involving automated segmentation, radiomics, and multimodal predictive modeling
Translate imaging-derived evidence into actionable insights and clear scientific narratives
Engage cross-functional stakeholders
Provide scientific leadership to imaging AI vendors, CROs, biomarker companies, academic centers, and imaging OEMs
Accelerate model development, validation, and deployment
Publish and present scientific innovation at scientific and clinical conferences

Requirements

What you’ll need

Ph.D. in Computer Science, Biomedical Engineering, Electrical Engineering, or a related quantitative field
3+ years of 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 (segmentation, detection, classification, registration), radiomics, and multimodal predictive modeling
Proficiency in Python and PyTorch
Practical experience with MONAI, SimpleITK, ITK, PyRadiomics, nnU-Net, 3D Slicer, and OpenCV
Experience with cloud ML infrastructure and MLOps practices for scalable training and inference on imaging data
Extensive experience with DICOM I/O, visualization, registration, harmonization, annotation, and segmentation of 3D medical images
Strong peer-reviewed publication record
Ability to communicate complex scientific concepts to technical and cross-functional audiences
Equal Opportunity Employer; qualified applicants considered without regard to protected characteristics

Benefits

Comp & perks

Consolidated retirement plan (pension)
Savings plan (401(k))
Vacation – 120 hours per calendar year
Sick time – 40 hours per calendar year
Holiday pay, including Floating Holidays – 13 days per calendar year
Work, Personal and Family Time – up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave – 240 hours for an immediate family member; 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year
Inclusive interview process and disability accommodations