Data Architect

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Overview

Design and implement robust data pipelines supporting CT, MRI, PET, and Ophthalmology imaging workflows. Develop and maintain ETL frameworks to ingest, transform, and manage structured and unstructured imaging data. Ensure data quality, integrity, and compliance with standards such as DICOM, GxP, and healthcare data governance protocols . Collaborate with AI / ML teams to enable seamless integration and training of models on medical imaging datasets. Define data modeling, storage, and retrieval strategies to support advanced analytics and clinical research. Implement FAIR (Findable, Accessible, Interoperable, Reusable) data management practices. Manage and optimize cloud-based data environments (preferably AWS) for performance, scalability, and compliance. Partner closely with clinical and research teams to ensure accurate, ethical, and impactful data utilization.

Responsibilities

• Design and implement robust data pipelines supporting CT, MRI, PET, and Ophthalmology imaging workflows.
• Develop and maintain ETL frameworks to ingest, transform, and manage structured and unstructured imaging data.
• Ensure data quality, integrity, and compliance with DICOM, GxP and healthcare data governance protocols.
• Collaborate with AI / ML teams to enable seamless integration and training of models on medical imaging datasets.
• Define data modeling, storage, and retrieval strategies to support advanced analytics and clinical research.
• Implement FAIR data management practices.
• Manage and optimize cloud-based data environments (preferably AWS) for performance, scalability, and compliance.
• Partner closely with clinical and research teams to ensure accurate, ethical, and impactful data utilization.

Requirements

Seniority level

Employment type

Job function

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