Data Scientist, Medical Imaging

Responsibilities

• Build and maintain Python pipelines for preparing medical imaging collections
• Develop, apply, and evaluate AI models for segmentation, classification, and embeddings
• Apply traditional image analysis methods for registration, normalization, and feature extraction
• Build and evaluate models combining imaging with clinical data
• Connect imaging results with clinical data models and standard vocabularies
• Run reproducible, scalable workflows with orchestration, containers, and cloud computing
• Collaborate with clinicians, imaging scientists, and software engineers

Requirements

• Master's or PhD in a quantitative field, or Bachelor's with equivalent experience
• Three or more years of hands-on medical image analysis experience
• Strong Python skills including scientific computing and deep learning libraries
• Familiarity with DICOM, NIfTI, and other medical image formats
• Experience evaluating models rigorously on imaging data
• Experience with clinical imaging data and its privacy requirements
• Comfort in Linux environments with version control and containers

Preferred Qualifications

• Experience with Nextflow or similar workflow orchestration tools
• Experience with EHR data and clinical data models such as OMOP or FHIR

Benefits

• Medical, dental and vision coverage
• Paid time off and paid holidays
• 401K match up to 5%
• Educational benefits for career growth
• Employee referral bonus
• Flexible spending accounts

About the Company

• Axle is a bioscience and information technology company supporting research centers and healthcare organizations, including NIH institutes.