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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 oncology, with a strong focus on deep learning, radiomics, and multimodal predictive modeling. Proven ability to lead scientific initiatives and collaborate across diverse teams to drive clinical development decisions.
Highest-signal resume keywords
Ph.D. In Computer ScienceMedical Imaging AI ExpertiseProficiency In Python And PyTorchExperience With DICOM I/O And 3D Medical ImagesStrong Peer-Reviewed 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 imaging data
- Collaborate internally and externally on foundational imaging AI for oncology drug development
- Conduct hands-on research involving automated segmentation, radiomics, and multimodal predictive modeling
- Provide scientific leadership to 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
- Transform oncology trial scans into clinical-development decisions supporting 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 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: Post-doctoral or industry experience developing AI/ML for medical imaging (CT, MRI, PET) 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
- Experience sourcing, structuring, and managing external partnerships with imaging-AI vendors, CROs/imaging core labs, biomarker companies, and academic centers
Benefits
Comp & perks- Retirement plan (pension)
- Savings plan (401(k))
- Long-term incentive program
- 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
- Hybrid work arrangement
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Deep LearningAutomated SegmentationRadiomicsMultimodal Predictive ModelingCloud ML InfrastructureMLOps PracticesData AnnotationImage RegistrationImage HarmonizationImage Segmentation
Soft Skills
Scientific CommunicationCollaborationLeadership
Tools & Technologies
PyTorchMONAISimpleITKITKPyRadiomicsNnU-Net3D SlicerOpenCV
Industry Keywords
Oncology ImagingClinical TrialsRECIST 1.1IRECISTPERCIST