
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 de-identified patient records. The company integrates extensive multimodal data including EHRs, medical imaging, and multi-omics to provide advanced AI analytics that generate real-world evidence, accelerate patient recruitment for clinical trials, and discover novel biomarkers. Their proprietary technologies include the world's first neurology-specific large language model (NeuroLLM™), knowledge graphs, topological data analysis, and deep learning for imaging. NeuroDiscovery AI serves academic researchers, clinicians, and life sciences companies, offering scalable, secure, and HIPAA-compliant data solutions that support regulatory submissions and improve treatment outcomes. With partnerships across 470+ leading neurology providers and a focus on diseases like multiple sclerosis, Parkinson's, and Alzheimer's, the company is positioned as a leader in neurology AI-driven insights and clinical trial optimization.

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 de-identified patient records. The company integrates extensive multimodal data including EHRs, medical imaging, and multi-omics to provide advanced AI analytics that generate real-world evidence, accelerate patient recruitment for clinical trials, and discover novel biomarkers. Their proprietary technologies include the world's first neurology-specific large language model (NeuroLLM™), knowledge graphs, topological data analysis, and deep learning for imaging. NeuroDiscovery AI serves academic researchers, clinicians, and life sciences companies, offering scalable, secure, and HIPAA-compliant data solutions that support regulatory submissions and improve treatment outcomes. With partnerships across 470+ leading neurology providers and a focus on diseases like multiple sclerosis, Parkinson's, and Alzheimer's, the company is positioned as a leader in neurology AI-driven insights and clinical trial optimization.
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
Experience In (preferred)
Skills
Bachelor`s degree in computer science, engineering, or a related field
6 to 8 years of experience in health data ingestion, transformation, and engineering(mandatoryrequirement)
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)