Principal Scientist, Imaging Analytics

Scorpion Therapeutics; New Brunswick (NJ); On-site; USD 170,000 - 250,000; Full time

Job summary

Scorpion Therapeutics in the United States seeks a Principal Scientist specializing in Imaging Analytics within INTO, focusing on medical imaging AI applications for early‑phase oncology trials. You will lead the development of segmentation, radiomics, and multimodal predictions on CT, MRI and PET data.

Collaborate with external vendors, CROs and academic partners to scale imaging platforms, translate quantitative findings into actionable clinical insights, and publish research at major

Qualifications

• PhD required in CS/biomedical engineering or related field.
• 3+ years in medical imaging AI industry/postdoc.
• Proficiency in Python, PyTorch, MONAI, SimpleITK, and nnU-Net.
• Extensive experience with DICOM workflows and 3D image analysis.
• Strong publication record.

Responsibilities

• Lead development and application of AI models (segmentation, radiomics, multimodal prediction) on CT, MRI, PET data.
• Collaborate with external vendors, CROs, academic partners to innovate imaging AI platforms.
• Translate quantitative imaging findings into actionable insights for clinical decision-making.
• Publish research and present at major scientific meetings.

Skills

Medical imaging AI

Collaboration

Publications

Education

Ph.D. in Computer Science or related field

Tools

Python

PyTorch

MONAI

SimpleITK

nnU-Net

Cloud MLOps

Job description

Role

Principal Scientist specializing in Imaging Analytics within Interventional Oncology (INTO), focusing on medical imaging AI applications for early-phase oncology trials.

Responsibilities

• lead development and application of AI models (segmentation, radiomics, multimodal prediction) on CT, MRI, PET data;
• collaborate with external vendors, CROs, academic partners to innovate foundational imaging AI;
• translate complex quantitative imaging findings into actionable insights for clinical decision-making;
• publish research and present at major scientific meetings.

Requirements

• Ph.D. in Computer Science, Biomedical Engineering, Electrical Engineering, or related field;
• 3+ years of industry or post-doctoral experience in medical imaging AI;
• proficiency in deep learning frameworks (Python, PyTorch), medical imaging libraries (MONAI, SimpleITK, nnU-Net), and cloud MLOps;
• extensive experience with DICOM workflows and 3D image analysis;
• strong publication record.

Preferred

• experience with solid-tumor imaging (lung, H&N), clinical trial endpoints (RECIST, PERCIST), and platform scaling.

HighValue

Oncology (solid tumors), early-phase trials, AI-driven response assessment, dose optimization, cross-disciplinary collaboration.

Location

New Brunswick/Raritan, NJ; Spring House/Horsham, PA; or Boston, MA.