Full Job Description
Job Function:
Data Analytics & Computational Sciences
Job Sub Function:
Data Science
Job Category:
Scientific/Technology
All Job Posting Locations:
Cambridge, Massachusetts, United States of America, New Brunswick, New Jersey, United States of America, Spring House, Pennsylvania, United States of America
Job Description:
About Innovative Medicine
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at https://www.jnj.com/innovative-medicine
Position Summary
We are seeking a Senior Scientist, Imaging Analytics to join Interventional Oncology (INTO) and support the scientific application of medical imaging AI across our early-phase oncology portfolio. In this role, you will transform routinely collected oncology trial scans (CT, MRI, PET) into earlier, evidence-based clinical-development decisions. You will advance foundational imaging-AI capabilities, develop novel quantitative imaging metrics, and deliver insights that enhance response assessment, dose optimization, and go/no-go decisions.
This is a high-impact, high-visibility role for a scientist who is passionate about translating cutting-edge imaging AI from research into real-world clinical impact. You will serve as a scientific bridge across data science, clinical development, and external partners.
This position can be based in New Brunswick/Raritan, NJ; Spring House/Horsham, PA; or Boston, MA.
Key Responsibilities
• Develop imaging AI and analytics to derive quantitative imaging measures and AI-derived endpoints from trial imaging data (CT, MRI, PET).
• Collaborate internally and externally to drive scientific innovation in foundational imaging AI that are relevant to oncology drug development - including automated segmentation, radiomics, and multimodal predictive modeling through hands-on research.
• Provide scientific leadership to external partnerships - including imaging AI vendors, CROs, biomarker companies, academic centers, and imaging OEMs - to accelerate model development, validation, and deployment.
• Publish and present scientific innovation at top scientific and clinical conferences (e.g., MICCAI, AACR, RSNA, etc.)
Required Knowledge, Skills and Abilities:
(Include any required computer skills, certifications, licenses, languages, etc.)
• 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, with practical experience in 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.
Preferred:
• Post-doctoral or industry experience developing AI/ML for medical imaging (CT, MRI, PET) in a clinical setting.
• Experience in 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 / imaging core labs, biomarker companies, and academic centers.
#LI-GR1
#LI-Hybrid
#JRDDS
#JNJDataScience
#JRD
Required Skills:
Preferred Skills:
Advanced Analytics, Business Intelligence (BI), Coaching, Collaboration, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis
The anticipated base pay range for this position is :
$109,000.00 - $174,800.00
Additional Description for Pay Transparency:
Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 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 period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits
