Data Scientist, Medical Imaging

The role

You will build and maintain Python pipelines to prepare, segment, and analyze medical images. You will develop AI and traditional image analysis models that combine imaging with clinical data.

What you will do

• Build and maintain Python pipelines for medical imaging collections.
• Develop, apply, and evaluate AI models for segmentation, classification, and image embeddings.
• Apply traditional image analysis methods for registration, normalization, and feature extraction.
• Build and evaluate models that combine imaging with clinical data and reports.
• Work with clinical data models and standard vocabularies to connect imaging results with patient records.
• Run pipelines with workflow orchestration, containers, and cluster or cloud computing.
• Collaborate with clinicians, imaging scientists, and software engineers.
• Present findings and contribute to publications, conference presentations, and open-source tools.

Required qualifications

• Master's degree or PhD in biomedical engineering, computer science, data science, medical physics, electrical engineering, or a related quantitative field, or a Bachelor's degree with equivalent exper
• Three or more years of hands-on experience in medical image analysis, in research or industry.
• Strong Python skills, including scientific computing and deep learning libraries.
• Familiarity with DICOM, NIfTI, and other medical image formats.
• Experience applying AI to medical images across segmentation, classification, and embeddings.
• Experience with traditional image analysis algorithms for registration, feature extraction, and machine learning.
• Experience evaluating models rigorously on imaging data, with sound validation design and appropriate performance metrics.
• Experience working with clinical imaging data and its privacy requirements.
• Comfort working in Linux environments with version control and containers.
• Ability to work effectively in a highly interdisciplinary environment and explain complex technical concepts clearly.

Nice to have

• Experience with Nextflow or similar workflow orchestration tools on clusters or cloud platforms.
• Experience with EHR data, clinical data models such as OMOP or FHIR, and standard clinical vocabularies.
• Familiarity with the OMOP medical imaging extension, or with imaging data in research data warehouses.
• Experience with multimodal models that combine imaging with EHR data or clinical text, including medical foundation models.
• Experience with microscopy or digital pathology image analysis.
• Experience with SQL and relational or analytical databases.
• Track record of publications, conference presentations, or open-source contributions in medical imaging or machine learning.
• Experience working with NIH or other federal health and biomedical research organizations.

Benefits

• 100% Medical, Dental & Vision Coverage for Employees
• Paid Time Off and Paid Holidays
• 401K match up to 5%
• Educational Benefits for Career Growth
• Employee Referral Bonus
• Healthcare (FSA)
• Parking Reimbursement Account (PRK)
• Dependent Care Assistant Program (DCAP)
• Transportation Reimbursement Account (TRN)

About the company

Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad.