Data Analyst (HL7, EHR)

  • |12 years of exp
  • |Contract
Posted: 7 days ago
Job Location
Remote Work Policy

In office - WFH flexibility

Visa Sponsorship

Not Available

RelocationAllowed
Skills
Python
SQL
XML
R
SAS
Relational Databases
HL7
ETL
Data Validation
EHR
System Integration
Structured Data
Fhir
HIE
SNOMED CT
Automated Workflows
Semi-Structured Data
Electronic Case Reporting (eCR/eICR)

About the job

Position: Senior Public Health Data Analyst

Location: Hybrid - Austin, Texas 78756.

Duration: 6 Months+

Need Local to Austin, TX - 4 days Remote with 1 day required to be Onsite

Must have 12+years of experience with Data Analysis

Must Have Experience with:

  • Programming: SAS, Python, R.
  • Data integration: System integration, automated workflows, ETL, and data validation.
  • Healthcare data: Electronic case reporting (eCR/eICR), EHR, HIE, HL7, FHIR, XML, and SNOMED CT.
  • Database management: SQL, relational databases, structured and semi-structured data

Job Duties:

  • Interoperability Needs Assessment: Conduct a needs assessment to evaluate and identify necessary steps for the Texas Birth Defects Registry (TBIRDS) to ingest eICRs and auto-populate select data fields. Maintain clear documentation of programming scripts, workflows, validation procedures, developed solutions, and other integration specific information to support sustainability and future maintenance. Develop a report/system requirements document describing functions and workflows needed for TBIRDS interoperability.
  • Dashboards and System Integration: Develop, test, document, and maintain SAS, Python, R (or other statistical software) programs for multiple branch processes, including building dashboards. Programs will automate and integrate relevant data from eICRs into TBIRDS to expedite branch processes such as but not limited to: triaging cases for clinical review and/or automating data ingestion in TBIRDS.
  • Testing and Validation: Test and validate automated workflow processes, standardization, linkage, and processing methods to assess accuracy, completeness, and reliability of SAS, R, and Python (or other statistical software) programs. Troubleshoot identified issues and refine programming solutions accordingly.
  • Data Interoperability Automation and Registry Modernization: Support efforts to incorporate electronic health data into existing TBDR workflows and assist with needs assessment and planning related to eICR integration and other interoperability initiatives.
  • Technical Requirements and Recommendations: Collaborate with BDESB staff and technical partners to identify data and system requirements, document technical processes, identify potential limitations, and develop recommendations for future interoperability projects.

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