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Axle Informatics in the United States seeks 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 building 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. You will write and maintain production Python, apply AI and traditional image analysis to large imaging collections, and
Axle is a bioscience and information technology company that offers advancements intranslational research, biomedical informatics, and datascience applications to research centers and healthcareorganizations nationally and abroad. With experts inbiomedical science, software engineering, and programmanagement, we focus on developing and applying researchtools and techniques to empower decision-making andaccelerate research discoveries. We work with some of thetop research organizations and facilities in the countryincluding multiple institutes at the National Institutes ofHealth (NIH).
Axle Informatics is seeking a Data Scientist with a strong background in medical imaging and AI to help 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. You will write and maintain production Python, apply both AI and traditional image analysis methods to large imaging collections, and build and evaluate models that combine imaging with other clinical data. You will be expected to check results critically and catch problems before they become findings.
The work supports biomedical research programs with federal health partners. You will work in a highly interdisciplinary environment, where progress depends on understanding colleagues from other disciplines and helping them understand you. It values scientific rigor, reproducibility, well-tested code, and open collaboration. If you enjoy the full path from raw images to a validated model, and want that work to be usable by others, we would love to meet you.
Medical Image Processing: Build