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# Scientist, Imaging Analytics

- **Company:** Johnson & Johnson
- **Location:** Cambridge, MA, United States
- **Experience:** Expert
- **Salary:** $109,000.0 - $174,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Visualization, Dicom, Python (Programming Language), OpenCV, Data Ingestion, Pytorch, Deep Learning, AI Platforms, Information Technology, Machine Learning Operations, Model Inference
- **Published:** October 22, 2026
- **Apply:** https://www.careers.jnj.com/en/jobs/r-106028/senior-scientist-imaging-analytics/

## About the Role

(Include any required computer skills, certifications, licenses, languages, etc.)

· Ph.D. in Computer Science, Biomedical Engineering, Electrical Engineering, or a related quantitative field.

· 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:

· Post-doctoral or industry experience developing AI/ML for medical imaging (CT, MRI, PET) in a clinical setting.

· 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., Advanced Analytics, Business Intelligence (BI), Coaching, Collaboration, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis

## Description

This is a high-impact, high-visibility role for a scientist who is passionate about translating cutting-edge imaging AI from research into real-world clinical impact. You will serve as a scientific bridge across data science, clinical development, and external partners., * Develop imaging AI and analytics to derive quantitative imaging measures and AI-derived endpoints from trial imaging data (CT, MRI, PET).

 * 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.

 * 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.)