24 часа назад
Senior Data Modeler (Healthcare)
110 000 - 160 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Modeler (Healthcare): Managing enterprise data models and transforming multimodal clinical data into a common data model with an accent on healthcare informatics, SQL, and data architecture. Focus on designing data models across transactional and analytical systems, validating clinical endpoints, and implementing traceable data-quality monitoring.
Location: Chicago, United States
Salary: $110,000–$160,000 annually for Illinois; $120,000–$170,000 for NYC/Boston. Compensation may vary for California, Colorado, and New York.
Company
develops a precision-medicine platform that connects multimodal healthcare and clinical data to support treatment decisions and cardiovascular research.
What you will do
- Manage an enterprise data model integrating clinical records, EHR, ECG, radiology, and other complex healthcare data domains.
- Create and maintain entity-relationship diagrams, data dictionaries, API specifications, and data translation documentation.
- Design and implement transformations from source systems into a common data model.
- Collaborate with clinicians and data scientists to define and validate clinical endpoint features.
- Implement proactive data-quality monitoring with traceability to source systems and profile partner data for completeness.
- Educate engineering teams on data-modeling standards, rules, and best practices.
Requirements
- Healthcare and informatics data domain knowledge.
- Experience with data-modeling techniques including 3NF, dimensional modeling, star schemas, and data vault.
- Advanced SQL skills in an enterprise data-warehouse environment.
- Knowledge and practical experience with ETL/ELT and BI architectures, concepts, and frameworks.
- Experience architecting solutions across relational, MPP, and NoSQL database technologies.
- Experience with data-modeling tools such as Erwin, Vertabelo, or Lucidchart.
Nice to have
- Experience with GCP architecture, particularly BigQuery.
- Experience with clinical and cardiovascular data, Epic tables, or HL7.
- Experience writing and debugging Python, working with dbt, or implementing master, reference, or metadata management solutions.
Culture & Benefits
- Work in small, autonomous, cross-functional teams.
- Build and deploy software on a modern Python, dbt, BigQuery, and GCP technology stack.
- Use decentralized microservice architecture and automation to deliver scalable solutions.
- Benefits may include incentive compensation, restricted stock units, medical coverage, and other benefits depending on the position.
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