Remote Clinical Informatics Specialist | Contract

Alignerr Corp.; Seattle (WA); Remote; USD 83,000 - 152,000; Part time

Job summary

Alignerr Corp. seeks a Clinical Informatics Specialist to evaluate EMR-driven workflows, assess decision-support logic, and identify gaps in how clinical data is structured and shared.

This remote, hourly contract role suits experienced healthcare informatics professionals who like to work independently on high-impact problems. The role involves reviewing data quality, interoperability, and mapping frameworks (FHIR, HL7, SNOMED), documenting edge cases with precision, and supporting ongoing

Qualifications

• Background in clinical informatics, healthcare IT, or clinical operations.
• Strong knowledge of EMR systems and data schemas.
• Familiarity with interoperability frameworks and health data exchange protocols.
• Detail-oriented and self-directed, able to work independently.

Responsibilities

• Review EMR-driven workflows and clinical data structures to identify inefficiencies and gaps.
• Evaluate decision-support logic and surface inconsistencies or opportunities for improvement.
• Document edge cases with precision and clarity.
• Assess data quality, interoperability, and transformation logic across healthcare systems.
• Interpret clinical standards, terminologies, and mapping frameworks (FHIR, HL7, SNOMED).
• Support recurring reviews of healthcare-informatics datasets to ensure ongoing accuracy and alignment.

Skills

Analytical mindset

Clear communication

Attention to detail

Independent worker

Tools

FHIR

HL7

SNOMED

Job description

Alignerr Corp. seeks a Clinical Informatics Specialist to evaluate EMR-driven workflows, assess decision-support logic, and identify gaps in how clinical data is structured and shared.

This remote, hourly contract role suits experienced healthcare informatics professionals who like to work independently on high-impact problems. The role involves reviewing data quality, interoperability, and mapping frameworks (FHIR, HL7, SNOMED), documenting edge cases with precision, and supporting ongoing