Data Scientist, Medical Imaging

(ID: 2026-3989)

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. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries.

We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

Key Responsibilities:

• Medical Image Processing: Build and maintain Python pipelines that prepare large, varied medical imaging collections for analysis, with attention to metadata quality and the inconsistencies found in real clinical data.
• AI for Medical Imaging: Develop, apply, and evaluate AI models for segmentation, classification, and image embeddings. Judge model quality and decide when a model needs retraining or a different approach.
• Traditional Image Analysis: Apply established image analysis methods for registration, normalization, and feature extraction, and combine them with machine learning where they fit the problem.
• Machine Learning and Multimodal Modeling: Build and evaluate models that combine imaging with clinical data and reports, using sound validation practices.
• Clinical Data Integration: Work with clinical data models and standard vocabularies to connect imaging results with patient records, cohorts, and outcomes.
• Reproducible, Scalable Workflows: Run pipelines with workflow orchestration, containers, and cluster or cloud computing. Keep code tested and documented so others can rerun the work.
• Collaboration and Communication: Work closely with clinicians, imaging scientists, and software engineers to define questions and interpret results. Present findings clearly, 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 experience.
• 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, with a habit of writing tested, maintainable code.
• 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.
• Collaboration & Communication: Ability to work effectively in a highly interdisciplinary environment with clinicians, imaging scientists, biologists, and software engineers, and to explain complex technical concepts clearly to people in other disciplines.

Preferred Qualifications

• 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 standa 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.
• Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.
• The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.
• Accessibility: If you need an accommodation as part of the employment process please contact:
• careers@axleinfo.com

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.