
NeuroDiscovery AI is a pioneering company revolutionizing neurological care and research through its AI-powered platform and one of the largest US neurological datasets with over 5 million…

NeuroDiscovery AI is a pioneering company revolutionizing neurological care and research through its AI-powered platform and one of the largest US neurological datasets with over 5 million…
Summary The Data Engineer will be responsible for designing, developing, and maintaining the data infrastructure for a healthcare organization. The ideal candidate will have experience in working with healthcare data, including EHR, HIMS, PACS, and RIS. They will also have experience with SQL, Elasticsearch, and data integration tools like Talend.
Please DO NOT APPLY if you have not worked with health data (EHR, HIMS, PACS, and RIS)
Responsibilities
Qualifications
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Bachelor`s degree in computer science, engineering, or a related field
3 to 5years of experience in health data ingestion, transformation, and engineering (mandatory requirement)
Experience in working with HL7 and DICOM standards
Strong expertise in SQL (mandatory requirement)
Experience with Elasticsearch or similar tool Experience with data integration tools such as Talend (mandatory requirement)
Experience with cloud computing platforms such as AWS, Azure, or GCP (mandatory requirement)
Expertise in dealing with at least one of the following (mandatory requirement)
Text data
Imaging data with DICOM and preferably CT and MRI experience
OMICS data (Genomics)
Experience in (preferred)
3 to 5 years of experience in Knowledge graph and vector databases
Airflow
Excellent problem-solving and analytical skills
Strong communication and teamwork skills