Principal Scientist, Imaging Analytics

Johnson & Johnson

Principal Scientist developing imaging AI applications for oncology trials at Johnson & Johnson. Transforming clinical imaging data into actionable insights for early-phase oncology 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

Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of 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 period10 days
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 ModelingAutomated SegmentationModel ValidationData Annotation3D Medical Image SegmentationCloud ML InfrastructureMLOps Practices

Soft Skills

Scientific LeadershipCross-Functional CollaborationEffective Communication