Principal Scientist, Imaging Analytics (AI)

Location: Hybrid role based in New Brunswick or Raritan, NJ; Spring House or Horsham, PA; or Boston, MA, United States

Salary: $117,000–$201,250 annual base pay

Company

Johnson & Johnson MedTech develops healthcare and innovative medicine solutions focused on improving patient outcomes.

What you will do

• Lead end-to-end AI applications on CT, MRI, and PET data from oncology clinical trials.
• Develop quantitative imaging measures and AI-derived endpoints for response assessment, dose optimization, and clinical go/no-go decisions.
• Conduct hands-on research in automated segmentation, radiomics, and multimodal predictive modeling.
• Translate complex imaging evidence into clear scientific narratives for data science, clinical development, and cross-functional stakeholders.
• Lead external partnerships with imaging AI vendors, CROs, biomarker companies, academic centers, and imaging OEMs.
• Publish and present scientific innovations at leading scientific and clinical conferences.

Requirements

• Ph.D. in Computer Science, Biomedical Engineering, Electrical Engineering, or a related quantitative field.
• At least 3 years of post-doctoral or industry experience developing AI/ML for medical imaging in a clinical setting.
• Hands-on expertise in deep learning for segmentation, detection, classification, and registration, as well as radiomics and multimodal predictive modeling.
• Proficiency in Python and PyTorch, with experience using medical-imaging libraries including MONAI, SimpleITK, ITK, PyRadiomics, nnU-Net, 3D Slicer, and OpenCV.
• Experience with cloud ML infrastructure, MLOps, and the full DICOM-based imaging workflow, including visualization, registration, harmonization, annotation, and 3D segmentation.
• Strong peer-reviewed publication record and ability to communicate complex scientific concepts to technical and cross-functional audiences.

Nice to have

• Experience with solid-tumor imaging, especially lung and head and neck oncology.
• Experience applying AI/ML to oncology imaging and clinical trials.
• Familiarity with RECIST 1.1, iRECIST, and PERCIST endpoints.
• Experience scaling clinical or imaging AI platforms from data ingestion through monitoring.
• Experience managing partnerships with imaging AI vendors, CROs, imaging core labs, biomarker companies, and academic centers.

Culture & Benefits

• Inclusive work environment focused on diversity, dignity, and equal opportunity.
• Retirement pension and 401(k) savings plans.
• Vacation, sick time, holiday pay, personal and family time, parental leave, and bereavement leave.
• Caregiver, volunteer, and military spouse time-off benefits.