2h ago

New

$120,000 — $130,000 USD/yr

Data Scientist, Medical Imaging

Remotemid

Data ScientistData

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Quick Summary

Key Responsibilities

Medical Image Processing: Build and maintain Python pipelines that prepare large, varied medical imaging collections for analysis,

Technical Tools

Data ScientistData

(ID: 2026-3989)

What We Offer

~5 min read

✓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)

✓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.

✓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.

✓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.

Location & Eligibility

Where is the job

Worldwide

Fully remote, anywhere in the world

Who can apply

Same as job location

About this job

Pay per year: $120,000–$130,000 a year; 32% below the $184,000 median for Data Scientist jobs on Jobera (893 salaries).
Posted: Today
Employer: has 63 open jobs on Jobera.