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3D Medical Imaging Jobs (NOW HIRING)

Jj

Principal Scientist, Imaging Analytics

Raritan, NJ · On-site

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 ...

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Arthrex

3D Artist II

Naples, FL · On-site

... medical data in the form of radiographs, computed tomography (CT) scans, magnetic resonance imaging ... Job title: 3D Artist II Arthrex Location:

ARTHREX

3D Artist II

Naples, FL

Requisition ID: 66669 Title: 3D Artist II Arthrex, Inc. is a global medical device company and a ... medical data in the form of radiographs, computed tomography (CT) scans, magnetic resonance imaging ...

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How much do 3d medical imaging jobs pay per year?

As of Jul 1, 2026, the average yearly pay for 3d medical imaging in the United States is $89,059.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $138,500.00 per year, depending on experience, location, and employer.
Infographic showing various 3D Medical Imaging job openings in the United States as of June 2026, with employment types broken down into 4% Full Time, 65% Part Time, and 31% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $89,059 per year, or $42.8 per hour.

Principal Scientist, Imaging Analytics

Johnson & Johnson Innovative Medicine

Spring House, PA • On-site

Full-time

Posted yesterday

Job description

Job Summary:
Johnson & Johnson is a leader in healthcare innovation, dedicated to transforming patient care through cutting-edge solutions. They are seeking a Principal Scientist, Imaging Analytics to lead the application of medical imaging AI in oncology, focusing on enhancing clinical development decisions through advanced imaging techniques.
Responsibilities:
• 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.)
Qualifications:
Required:
• 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.
Company:
Johnson and Johnson Innovative Medicine focuses on developing medical solutions for some of the challenging diseases and medical conditions. Founded in , the company is headquartered in Raritan, USA, with a team of 10001+ employees. The company is currently Late Stage.

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