Data Engineer About Anatomic At Anatomic, we’re a health-tech and medical AI data infrastructure company backed by Dr. Morepen and Y Combinator. We build the clinical network layer that gives medical AI researchers secure, compliant access to multimodal clinical data, including 4K surgical videos, medical imaging (X-ray, CT, MRI) and clinical records. We’re looking for a Data Engineer to build the pipelines that move clinical data from hospitals into AI-ready datasets, securely and at scale. What you’ll do
• Build and maintain pipelines that ingest data from hospital systems (HIS/EMR, PACS, video sources)
• Design storage and processing for large multimodal data (4K video, DICOM imaging, structured records)
• Build de-identification,
consent-tracking and audit layers into every pipeline
• Own data quality, monitoring and reliability
• Work with researchers to package datasets for medical AI teams What you bring
• 3+ years in data engineering
• Strong Python and SQL
• Experience with cloud platforms (AWS, GCP or Azure) and tools such as Spark, Airflow or Kafka
• Experience handling large files and unstructured data at scale. Positive to have: HL7/FHIR, DICOM, healthcare data, or security and compliance work.
How to apply
Send your CV and GitHub or portfolio link to
[email protected]
📌 Data Engineer (Hyderabad)
🏢 Dr. Morepen Home
📍 Hyderabad