Principal Scientist, Imaging Analytics

Scorpion Therapeutics; Raritan (NJ); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Johnson & Johnson Innovative Medicine is seeking a Principal Scientist specializing in Imaging Analytics to lead AI-driven imaging projects in early-phase oncology trials. You will transform CT, MRI, and PET datasets into actionable insights for decision-making, response assessment, and dose optimization.

The role requires a PhD with 3+ years in medical imaging AI, strong Python/PyTorch skills, and experience with MONAI/SimpleITK.

Qualifications

• PhD in Computer Science, Biomedical Engineering, Electrical Engineering, or similar.
• 3+ years post-doctoral or industry experience in medical imaging AI (CT, MRI, PET) in clinical settings.
• Proficiency in Python, PyTorch, and medical imaging libraries (MONAI, SimpleITK).
• Experience with cloud ML infrastructure, DICOM workflows, and multimodal imaging is essential.

Responsibilities

• Lead end-to-end AI application development (e.g., segmentation, radiomics, predictive modeling).
• Collaborate with internal teams and external partners to advance imaging AI tools.
• Translate complex quantitative findings into clear scientific narratives for cross-functional stakeholders.
• Publish and present at top scientific conferences.

Skills

Imaging AI

Radiomics

Python

Scientific communication

Education

PhD in imaging field

Tools

MONAI

SimpleITK

DICOM workflows

PyTorch

Job description

Role: Principal Scientist specializing in Imaging Analytics within Johnson & Johnson's Innovative Medicine division, focusing on applying AI to early-phase oncology imaging datasets.

Objectives

Transform routine CT, MRI, and PET scans into actionable insights to support clinical decision-making, response assessment, and dose optimization in oncology trials.

Responsibilities

• Lead end-to-end AI application development (e.g., segmentation, radiomics, predictive modeling)
• Collaborate with internal teams and external partners to advance imaging AI tools
• Translate complex quantitative findings into clear scientific narratives for cross-functional stakeholders
• Publish and present at top scientific conferences

Qualifications

• Ph.D. in Computer Science, Biomedical Engineering, Electrical Engineering, or similar
• 3+ years post-doctoral or industry experience in medical imaging AI (CT, MRI, PET) in clinical settings
• Proficiency in Python, PyTorch, and medical imaging libraries (e.g., MONAI, SimpleITK)
• Experience with cloud ML infrastructure, DICOM workflows, and multimodal imaging is essential
• Preferred: expertise in solid-tumor imaging (lung, head & neck), familiarity with oncology endpoints (RECIST, PERCIST), and experience managing external AI vendors and collaborations

Locations

The position offers locations in New Jersey, Pennsylvania, or Massachusetts, with an emphasis on innovative research impacting oncology drug development.