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Senior Scientist, Imaging Analytics
Johnson & JohnsonCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing imaging AI and analytics for quantitative measures from medical imaging data, with a strong focus on deep learning, radiomics, and predictive modeling in oncology. Proven ability to lead scientific collaborations and communicate complex concepts effectively across diverse teams.
Highest-signal resume keywords
Ph.D. In Computer ScienceDeep Learning ExpertiseProficiency In PythonExperience With DICOM I/OStrong Publication Record
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Develop imaging AI and analytics to derive quantitative imaging measures and AI-derived endpoints from CT, MRI, and PET trial data
- Conduct hands-on research in automated segmentation, radiomics, and multimodal predictive modeling for oncology drug development
- Collaborate internally and externally to drive scientific innovation in foundational imaging AI
- Provide scientific leadership to partnerships with imaging AI vendors, CROs, biomarker companies, academic centers, and imaging OEMs
- Accelerate model development, validation, and deployment
- Publish and present scientific innovations at conferences including MICCAI, AACR, and RSNA
- Support earlier, evidence-based clinical-development decisions, response assessment, dose optimization, and go/no-go decisions
- Serve as a scientific bridge across data science, clinical development, and external partners
Requirements
What you’ll need- Ph.D. in Computer Science, Biomedical Engineering, Electrical Engineering, or a related quantitative field
- Hands-on expertise in deep learning for segmentation, detection, classification, and registration
- Expertise in 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
- 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: post-doctoral or industry experience developing AI/ML for medical imaging in a clinical setting
- 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))
- Long-term incentive program
- Vacation – 120 hours per calendar year
- Sick time – 40 hours per calendar year; 48 hours for employees residing in Colorado; 56 hours for employees residing in Washington
- 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 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Automated SegmentationRadiomicsMultimodal Predictive ModelingCloud ML InfrastructureMLOps Practices3D Medical Image SegmentationModel DevelopmentModel ValidationModel DeploymentAI/ML For Medical Imaging
Soft Skills
Scientific LeadershipCommunication Of Complex ConceptsCollaboration
Tools & Technologies
PyTorchMONAISimpleITKITKPyRadiomicsNnU-Net3D SlicerOpenCV
Industry Keywords
Oncology Drug DevelopmentClinical DevelopmentSolid-Tumor ImagingRECIST 1.1IRECISTPERCISTImaging AI VendorsCROsBiomarker CompaniesImaging OEMs