John Snow Labs
Healthcare
HealthcareDataIntegrationEngineer(FHIR/OMOP)
“Healthcare Data Integration Engineer (FHIR / OMOP) at John Snow Labs. Skills: Healthcare data integration, FHIR, OMOP CDM, ETL pipelines. Lead technical onboarding. Analyze source systems”
What You'll Achieve.
Lead onboarding projects; Build reusable connectors; Standardize healthcare data; Improve terminology mapping; Improve data quality processes; Become trusted technical partner; Contribute to platform evolution
Industry & Context.
Problem-solving; Troubleshooting; Data quality issues; Interoperability issues
30-40 hours per week
What They're Looking For.
Must Have
2+ years healthcare data integration, 2+ years interoperability, 2+ years clinical data engineering, Experience with FHIR, Experience with HL7 v2, Experience with clinical terminology, Experience with SQL, Experience with relational databases, Experience designing ETL pipelines, Experience implementing REST APIs, Problem-solving skills, Troubleshooting skills, Excellent communication skills, Ability to work with client teams
Nice to Have
Experience with OMOP CDM, Experience with OHDSI tools, Experience mapping to OMOP, Experience with terminology services, Experience with vocabulary management, Familiarity with Epic EHR, Familiarity with Cerner EHR, Familiarity with MEDITECH EHR, Familiarity with Athenahealth EHR, Familiarity with eClinicalWorks EHR, Experience with healthcare cloud, Experience with Python, Experience with modern data engineering tools, Experience with healthcare analytics, Experience with healthcare research platforms, Experience implementing FHIR servers, Experience implementing FHIR APIs, Experience with healthcare NLP, Experience with unstructured clinical data, Experience with data quality frameworks, Experience supporting regulatory data, Experience supporting research data, Familiarity with RWE platforms
What You'll Do.
Lead technical onboarding
Analyze source systems
Analyze data architectures
Collaborate with client teams
Understand source data
Define integration strategies
Define technical specifications
Support data transformation
Identify data quality issues
Resolve data quality issues
Identify interoperability issues
Resolve interoperability issues
Participate in vocabulary mapping
Maintain ETL pipelines
Develop integration frameworks
Develop connector libraries
Monitor integration processes
Troubleshoot production issues
Document integration designs
Document operational procedures
Work closely with data engineers
Work closely with data scientists
Work closely with ML engineers
Support data validation
Support quality assurance
Contribute to best practices
Contribute to platform architecture
Serve as technical point of contact
How You'll Work.
Team & Collaboration
Client IT teams; Clinical informatics teams; Data engineers; Data scientists; Machine learning engineers
Communication Scope
Client communication; Technical communication
Process & Methodology
Lead onboarding projects, Lead integration projects
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