Posted:2 weeks ago|
Platform:
On-site
Full Time
☑️ About NeuroDiscovery AI:
We connect health data from millions of patients with neurological conditions including Alzheimer's, FTD, Multiple Sclerosis, Parkinson's Disease, and Migraines to accelerate clinical trials, deliver RWE/RWD studies, and identify new biomarkers for drug discovery.
☑️ Role Overview:
As a Data Engineer, you will design, build, and maintain robust data pipelines and infrastructure to support our healthcare data ecosystem. This role involves working with diverse health data sources (EHR, HIMS, PACS, RIS) and ensuring secure, scalable, and reliable data integration to power advanced analytics and AI-driven insights.
☑️ Requirements:
Bachelor’s degree in Computer Science, Engineering, or related field
5+ years of experience in health data engineering (mandatory)
Expertise in SQL, HL7/DICOM standards, and Talend
Experience with cloud platforms (AWS/Azure/GCP)
Strong knowledge of Elasticsearch or similar tools
Hands-on experience with healthcare data types (Text, Imaging, OMICS)
Excellent problem-solving, analytical, and collaboration skills
☑️ Preferred Experience:
Knowledge Graphs and Vector Databases (5+ years)
Airflow
Apply now through our application form below 👇
🔗 https://lnkd.in/g7pd3wdS
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