Principal Scientist, Imaging Analytics

Principal Scientist, Imaging Analytics – Role Overview

Johnson & Johnson is seeking a Principal Scientist to lead the scientific application of medical imaging Artificial Intelligence across our early‑phase oncology portfolio. The role involves transforming routinely collected trial scans (CT, MRI, PET) into evidence‑based clinical‑development decisions, developing quantitative imaging metrics, and providing insights that enhance response assessment, dose optimization, and go/no‑go decisions.

• Lead end‑to‑end AI applications on trial imaging data (CT, MRI, PET) for quantitative imaging measures and AI‑derived endpoints.
• Collaborate internally and externally to drive scientific innovation in foundational imaging AI—including automated segmentation, radiomics, and multimodal predictive modeling through hands‑on research.
• Translate imaging‑derived evidence into actionable insights by converting complex quantitative findings into clear scientific narratives and engaging cross‑functional stakeholders.
• Provide scientific leadership to external partnerships—imaging AI vendors, CROs, biomarker companies, academic centers, and imaging OEMs—to accelerate model development, validation, and deployment.
• Publish and present scientific innovation at premier scientific and clinical conferences (e.g., MICCAI, AACR, RSNA).

• 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 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, and practical experience with 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.

• Experience 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, biomarker companies, and academic centers.

The position can be based in New Brunswick/Raritan, NJ;
Spring House/Horsham, PA; or Boston, MA.

Anticipated base pay range: $117,000 – $201,250. Benefits include:

• Consolidated retirement plan (pension) and savings plan (401(k)).
• Vacation: 120hours per calendar year.
• Sick time: 40hours per calendar year (48hours for Colorado, 56hours for Washington).
• Holiday pay, including floating holidays: 13days per calendar year.
• Parental leave: 480hours within one year of the birth/adoption/foster care of a child.
• Bereavement leave: 240hours for an immediate family member (40hours for an extended family member per calendar year).
• Caregiver leave: 80hours in a 52‑week rolling period.
• Volunteer leave: 32hours per calendar year.
• Military spouse time‑off: 80hours per calendar year.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status, or other characteristics protected by federal, state, or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section
503 of the Rehabilitation Act.