Principal Scientist, Imaging Analytics

Johnson & Johnson

Principal Scientist leading imaging analytics and AI applications for oncology treatments at Johnson & Johnson. Collaborating on innovative imaging AI solutions to enhance clinical drug development.

Posted 7/1/2026full-timeNew Brunswick • Massachusetts, New Jersey, Pennsylvania • 🇺🇸 United StatesLead💰 $117,000 - $201,250 per yearWebsite

Tech Stack

Tools & technologies

CloudPythonPyTorch

About the role

Key responsibilities & impact

Lead end-to-end AI applications on trial imaging data (CT, MRI, PET) for quantitative imaging measures and AI-derived endpoints
Collaborate internally and externally to drive scientific innovation in foundational imaging AI that are relevant to oncology drug development — including automated segmentation, radiomics, and multimodal predictive modeling through hands-on research
Translate imaging-derived evidence into actionable insights by converting complex quantitative findings into clear scientific narratives and engaging cross-functional stakeholders
Provide scientific leadership to external partnerships — including imaging AI vendors, CROs, biomarker companies, academic centers, and imaging OEMs — to accelerate model development, validation, and deployment
Publish and present scientific innovation at top scientific and clinical conferences (e.g., MICCAI, AACR, RSNA, etc.)

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, with practical experience in medical-imaging libraries such as 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 the full imaging data workflow: DICOM I/O, visualization, registration, harmonization, annotation, and segmentation of 3D medical images
Strong peer-reviewed publication record and demonstrated ability to communicate complex scientific concepts to both technical and cross-functional audiences
Preferred: Experience in analyzing solid-tumor imaging, particularly lung and head & neck (H&N)
Track record of developing and applying AI/ML to oncology imaging and within oncology clinical trials
Familiarity with standard oncology endpoints (e.g., RECIST 1.1, iRECIST, PERCIST)
Experience building and scaling clinical or imaging AI platforms end-to-end, including data ingestion, harmonization, model inference, visualization, and continuous monitoring
Experience in sourcing, structuring, and managing external partnerships with imaging-AI vendors, CROs / imaging core labs, biomarker companies, and academic centers.

Benefits

Comp & perks

Consolidated retirement plan (pension)
Savings plan (401(k))
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in Colorado –48 hours per calendar year; for employees in Washington –56 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI/ML TechniquesDeep LearningRadiomicsMultimodal Predictive ModelingDICOM I/OSegmentationClassificationRegistrationVisualizationAnnotation

Soft Skills

Scientific LeadershipCommunication SkillsCollaboration