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Principal Scientist, Imaging Analytics
Johnson & Johnson. Lead end-to-end AI applications on CT, MRI, and PET trial imaging data for quantitative imaging measures and AI-derived endpoints .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing AI applications for medical imaging, particularly in CT, MRI, and PET, with a strong focus on quantitative imaging metrics and predictive modeling. Proven ability to lead cross-functional collaborations and communicate complex scientific concepts effectively.
Highest-signal resume keywords
Ph.D. In Computer ScienceAI/ML Development For Medical ImagingDeep Learning ExpertiseProficiency In Python And PyTorchExperience With DICOM I/O
ATS Keywords
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Hard Skills
Automated SegmentationRadiomicsMultimodal Predictive ModelingQuantitative Imaging MetricsCloud ML InfrastructureMLOps Practices3D Medical Image SegmentationModel Development And ValidationScientific PublicationOncology Imaging Analysis
Soft Skills
Scientific LeadershipCross-Functional CommunicationStakeholder Engagement
Tools & Technologies
MONAISimpleITKITKPyRadiomicsNnU-Net3D SlicerOpenCV
Industry Keywords
CT ImagingMRI ImagingPET ImagingOncology Clinical TrialsRECIST 1.1IRECISTPERCIST
Tech Stack
Tools & technologiesCloudPythonPyTorch
About the role
Key responsibilities & impact- Lead end-to-end AI applications on CT, MRI, and PET trial imaging data for quantitative imaging measures and AI-derived endpoints
- Develop foundational imaging AI capabilities, novel quantitative imaging metrics, and clinical-development insights
- Enhance response assessment, dose optimization, and go/no-go decisions
- Conduct hands-on research in automated segmentation, radiomics, and multimodal predictive modeling for oncology drug development
- Translate complex imaging-derived findings into clear scientific narratives and actionable insights
- Engage cross-functional stakeholders across data science and clinical development
- Provide scientific leadership to imaging AI vendors, CROs, biomarker companies, academic centers, and imaging OEMs
- Accelerate model development, validation, and deployment through external partnerships
- Publish and present scientific innovation at conferences including MICCAI, AACR, and RSNA
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
- Practical experience with 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 DICOM I/O, visualization, registration, harmonization, annotation, and segmentation of 3D medical images
- Strong peer-reviewed publication record
- Ability to communicate complex scientific concepts to technical and cross-functional audiences
- Preferred: Experience analyzing solid-tumor imaging, particularly lung and head & neck
- Preferred: Track record applying AI/ML to oncology imaging and oncology clinical trials
- Preferred: Familiarity with RECIST 1.1, iRECIST, and PERCIST
- Preferred: Experience building and scaling clinical or imaging AI platforms end-to-end
- Preferred: Experience sourcing, structuring, and managing external partnerships
Benefits
Comp & perks- Consolidated retirement plan (pension)
- Savings plan (401(k))
- Vacation – 120 hours per calendar year
- Sick time – 40 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
- Inclusive interview process and disability accommodations