Canterr, Inc.
Website:
canterr.com
Job details:
Key Responsibilities
● Database Architecture & Modeling: Design and implement relational (SQL) and non-relational (NoSQL) data models optimized for clinical workflows, patient registries, and healthcare analytics.
● Interoperability Integration: Ensure database structures support industry-standard healthcare protocols such as HL7, FHIR (Fast Healthcare Interoperability Resources), and DICOM.
● Security & Compliance: Architect data schemas with built-in security controls, ensuring strict adherence to HIPAA, HITECH, and GDPR regulations. Implement data masking, encryption at rest/in transit, and robust audit logging.
● ETL & Data Pipelines: Develop and optimize complex Extract, Transform, Load (ETL) processes to ingest data from diverse sources like Electronic Health Records (EHRs), medical devices, and lab systems.
● Performance Tuning: Monitor, analyze, and optimize database performance, index strategies, and query execution plans to ensure high availability and minimal latency for frontline healthcare providers.
● Collaboration: Partner with software engineers, data scientists, and clinical stakeholders to understand data requirements and translate them into technical specifications.
Crucial Requirement: Data Governance Every schema and table you design must prioritize patient privacy. You will be expected to advocate for strict data governance and zero-trust data access patterns across all environments.
Required Skills & Qualifications
● Experience: 7+ years of experience in database design, data modeling, or database architecture, with at least 5 years specifically within the healthcare domain.
● Technical Proficiency: Strong expertise in relational database management systems (e.g., PostgreSQL, MS SQL Server, Oracle) and familiarity with NoSQL solutions (e.g., MongoDB, Cassandra).
● Healthcare Standards: Deep understanding of medical coding systems (ICD-10, SNOMED-CT, LOINC) and healthcare data exchange standards (FHIR/HL7).
● Tools: Proficiency in data modeling tools (e.g., Erwin, ER/Studio, or Lucidchart) and advanced SQL scripting.
● Education: Bachelor’s degree in Computer Science, Health Informatics, Information Technology, or a related field (or equivalent practical experience).
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