Data Scientist, Medical Imaging

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $120k - $130k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Axle Informatics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🧬 Biotechnology

🏥 Healthcare

🔬 Science

Biotechnology • Healthcare • Science

Axle Informatics is a bioscience and information technology company that offers advancements in translational research, health informatics, and data science applications to research centers and healthcare organizations around the globe. With experts in biomedical science, software engineering, and program management, we develop and apply research tools and techniques that 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) by offering the responsiveness of a small business coupled with the experience, breadth, and depth of a large organization.

📋 Description

• Build and maintain Python pipelines that prepare large, varied medical imaging collections for analysis, with attention to metadata quality and clinical-data inconsistencies • Develop, apply, and evaluate AI models for segmentation, classification, and image embeddings • Apply traditional image analysis methods for registration, normalization, and feature extraction, combining them with machine learning where appropriate • Build and evaluate models combining imaging with clinical data and reports using sound validation practices • Connect imaging results with patient records, cohorts, and outcomes using clinical data models and standard vocabularies • Run reproducible, scalable pipelines with workflow orchestration, containers, and cluster or cloud computing • Keep code tested and documented so others can rerun the work • Work 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 • Support biomedical research programs with federal health partners

🎯 Requirements

• 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 • Ability to work effectively in a highly interdisciplinary environment and explain complex technical concepts clearly • Preferred: Experience with Nextflow or similar workflow orchestration tools on clusters or cloud platforms • Preferred: Experience with EHR data, OMOP or FHIR clinical data models, and standard clinical vocabularies • Preferred: Familiarity with the OMOP medical imaging extension or imaging data in research data warehouses • Preferred: Experience with multimodal models combining imaging with EHR data or clinical text, including medical foundation models • Preferred: Experience with microscopy or digital pathology image analysis • Preferred: Experience with SQL and relational or analytical databases • Preferred: Track record of publications, conference presentations, or open-source contributions in medical imaging or machine learning • Preferred: 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 • Flexible Spending Accounts: Healthcare (FSA), Parking Reimbursement Account (PRK), Dependent Care Assistant Program (DCAP), Transportation Reimbursement Account (TRN)

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