Data Engineer
RapidAI
Full Time7+ yearsPosted about 2 months ago
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Overview
Position Type
Full Time
Experience
7+ years
Job Description
What you will do:
- Design, develop, and optimize ETL pipelines for large-scale medical imaging datasets, ensuring efficient data ingestion, transformation, and storage.
- Build and maintain medical imaging data repositories, ensuring seamless access, query optimization, and compliance with healthcare regulations.
- Implement data processing workflows for clinical imaging data (CT, MRI) to extract, standardize, and structure metadata.
- Develop scalable solutions for medical imaging data engineering, integrating with PACS or XNAT, and other imaging systems.
- Apply computer vision and machine learning techniques to analyze and process medical images for healthcare applications, linking imaging data with associated clinical metadata.
- Extract and standardize image metadata (DICOM headers, HL7, FHIR) for enhanced image classification and retrieval.
- Develop automated image labeling and segmentation workflows using metadata-driven insights.
- Optimize data storage and retrieval on AWS (S3, Lambda, EC2, DynamoDB, Redshift) for high-performance clinical applications.
What you will bring:
- 7 to 10 years of experience in data engineering with a focus on healthcare imaging and medical imaging data.
- Expertise in medical imaging standards (preferably DICOM, but familiarity with other formats is valuable) and clinical metadata processing.