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Senior Data Engineer

RapidAI
🇮🇳 India
Hybrid
Senior
1 month ago
  • AI
  • ETL
  • MRI
  • PACS
  • Computer Vision
  • Machine Learning
  • DICOM
  • HL7
  • FHIR
  • AWS S3
  • EC2
  • DynamoDB
  • Redshift
1 month ago
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RapidAI is the trusted leader in deep clinical AI, helping hospitals deliver faster, more informed care through intelligent imaging and integrated workflows. The Rapid Enterprise™ Platform supports disease states across the care spectrum, but it’s our clinical depth that drives the most meaningful impact — improving decision-making, patient outcomes, and health-system performance. Used by more than 2,500 hospitals in over 100 countries and backed by 700+ clinical studies, including research that helped expand national stroke-treatment guidelines, RapidAI is the most clinically validated AI platform in healthcare.
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 withPACS or XNAT, and other imaging systems. Apply computer vision and machine learning techniques to analyze and processmedical images for healthcare applications, linking imaging data with associatedclinical metadata. Extract and standardize image metadata (DICOM headers, HL7, FHIR) for enhancedimage classification and retrieval. Develop automated image labeling and segmentation workflows using metadatadriven insights. Optimize data storage and retrieval on AWS (S3, Lambda, EC2, DynamoDB, Redshift) forhigh-performance clinical applications. What you will bring:7 to 10 years of experience in data engineering with a focus on healthcare imaging andmedical imaging data. Expertise in medical imaging standards (preferably DICOM, but familiarity with otherformats is valuable) and clinical metadata processing.RapidAI is committed to creating an inclusive and diverse workplace. We provide equal employment opportunities to all employees and applicants and prohibit discrimination and harassment of any type in regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Senior Data Engineer · RapidAI

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