Data Scientist, Medical Imaging

Axle Informatics

. Build and maintain Python pipelines that prepare large, varied medical imaging collections for analysis, with attention to metadata quality and clinical-data inconsistencies .

Posted 11/5/2026full-timeRemote • United StatesMid-LevelSenior💰 $120,000 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining Python pipelines for medical imaging analysis, applying AI models for segmentation and classification, and ensuring data quality through rigorous validation practices. Proficient in collaborating with interdisciplinary teams and effectively communicating complex findings in biomedical research.

Highest-signal resume keywords

Python ProgrammingMedical Image AnalysisAI Model DevelopmentDICOM FamiliarityWorkflow Orchestration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonAI ModelsImage SegmentationImage ClassificationFeature ExtractionModel EvaluationLinux EnvironmentsSQLMachine Learning AlgorithmsClinical Data Models

Soft Skills

Interdisciplinary CollaborationClear CommunicationProblem-Solving

Tools & Technologies

NextflowContainersCloud ComputingVersion ControlEHR Data

Industry Keywords

Biomedical EngineeringMedical ImagingClinical DataResearch Data WarehousesNIH

Tech Stack

Tools & technologies

CloudLinuxPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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)