Medical Imaging Data Scientist - AI Pipelines

Axle; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

100% Medical, Dental & Vision Coverage

Paid Time Off and Paid Holidays

401K match up to 5%

Educational Benefits for Career Growth

Employee Referral Bonus

Flexible Spending Accounts: Healthcare

Parking Reimbursement Account

Dependent Care Assistant Program

Transportation Reimbursement Account

Job summary

Axle Informatics is seeking a Data Scientist with a strong background in medical imaging and AI to turn clinical images into research-ready data and models. You will join a team that builds reproducible pipelines for preparing, segmenting, and analyzing medical images, and for linking imaging results to clinical data for machine learning.

This is a hands-on role with production Python and model evaluation in mind.

Qualifications

• Master's degree or PhD in a quantitative field or equivalent experience.
• 3+ years hands-on medical image analysis in research or industry.
• Strong Python skills with tested, maintainable code.
• Familiarity with DICOM, NIfTI, and other medical image formats.
• Experience applying AI to medical images for segmentation/classification/embeddings.

Responsibilities

• Build and maintain Python pipelines for large medical imaging collections.
• Develop, apply, and evaluate AI models for segmentation and classification.
• Apply traditional image analysis for registration and feature extraction.
• Build multimodal models combining imaging with clinical data.
• Collaborate with clinicians and engineers to interpret results and publish findings.
• Ensure reproducible workflows using containers and scalable infrastructure.

Skills

Python programming

Medical imaging

AI/ML development

Data analysis

Linux/UNIX

Collaboration

Education

Master's degree or PhD in biomedical engineering / CS / data science / medical physics / EE

Tools

Nextflow

DICOM/NIfTI

Job description

Axle Informatics is seeking a Data Scientist with a strong background in medical imaging and AI to turn clinical images into research-ready data and models. You will join a team that builds reproducible pipelines for preparing, segmenting, and analyzing medical images, and for linking imaging results to clinical data for machine learning.

This is a hands-on role with production Python and model evaluation in mind.