Tempus AI

Senior Integration Analyst

Tempus AI

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, Illinois, Massachusetts, New York

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Salary

💰 $100,000 - $140,000 per year

Job Level

Senior

Tech Stack

AWSAzureCloudETLGoogle Cloud PlatformJavaPythonSOAPSQLUnix

About the role

  • Collaborate with external providers and internal teams to implement EHR/EMR integrations, including order and result interfaces, clinical data ingestion, and interoperability workflows.\n
  • Support new customer onboarding by providing clear communication, technical guidance, and issue resolution throughout the integration process.\n
  • Analyze, map, and validate healthcare data from various EHR platforms (Epic, Cerner, Athena, etc.), ensuring compliance with HL7, FHIR, and other interoperability standards.\n
  • Monitor data quality and integrity, troubleshooting issues related to missing or inconsistent clinical data.\n
  • Work closely with engineering and product teams to optimize integration workflows, enhance automation, and reduce implementation timelines.\n
  • Maintain and document best practices, integration guides, and standard operating procedures to improve efficiency and scalability.\n
  • Support the connectivity and data integration roadmap, ensuring alignment with Tempus' strategic goals.\n
  • 8+ years of experience in healthcare data integration, EHR interoperability, or a related field.\n
  • Proficiency in HL7 v2 (ADT, ORU, ORM, etc.), FHIR (R4), API-based integrations, and clinical data standards.\n
  • Experience working with EHRs such as Epic (Aura, Care Everywhere), Cerner, Flatiron, or similar platforms.\n
  • Familiarity with the Unix command-line and Git with serialization formats for data exchange (JSON, CSV, etc).\n
  • Ability to edit and modify short Java programs or Python scripts.\n
  • Hands-on experience with data transformation, validation, and ETL tools.\n
  • Experience with interface engines (Corepoint, Mirth, Cloverleaf, Rhapsody, or similar).\n
  • Strong SQL skills for querying, validating, and troubleshooting healthcare data.\n
  • Experience working with APIs (REST, SOAP, OAuth 2.0, JSON, XML) for healthcare system integrations.\n
  • Understanding of HIPAA, PHI data security, and regulatory compliance in healthcare integrations.\n
  • Experience with monitoring and logging tools to track interface performance and troubleshoot issues.\n
  • Strong written and verbal communication skills\n
  • Ability to juggle multiple competing priorities\n
  • Nice to Have:\n
  • Epic Interconnect API, FHIR Bulk Data Access, or Epic Bridges experience.\n
  • Experience with cloud-based data platforms (AWS, Azure, GCP) and data pipelines.\n
  • Familiarity with identity management solutions (OAuth, SAML, OpenID Connect) in a healthcare setting.\n
  • Experience with machine learning-ready data structures or real-world evidence (RWE) pipelines in healthcare analytics.

Requirements

  • 8+ years of experience in healthcare data integration, EHR interoperability, or a related field.\n
  • Proficiency in HL7 v2 (ADT, ORU, ORM, etc.), FHIR (R4), API-based integrations, and clinical data standards.\n
  • Experience working with EHRs such as Epic (Aura, Care Everywhere), Cerner, Flatiron, or similar platforms.\n
  • Familiarity with the Unix command-line and Git with serialization formats for data exchange (JSON, CSV, etc).\n
  • Ability to edit and modify short Java programs or Python scripts.\n
  • Hands-on experience with data transformation, validation, and ETL tools.\n
  • Experience with interface engines (Corepoint, Mirth, Cloverleaf, Rhapsody, or similar).\n
  • Strong SQL skills for querying, validating, and troubleshooting healthcare data.\n
  • Experience working with APIs (REST, SOAP, OAuth 2.0, JSON, XML) for healthcare system integrations.\n
  • Understanding of HIPAA, PHI data security, and regulatory compliance in healthcare integrations.\n
  • Experience with monitoring and logging tools to track interface performance and troubleshoot issues.\n
  • Strong written and verbal communication skills\n
  • Ability to juggle multiple competing priorities\n
  • Nice to Have:\n
  • Epic Interconnect API, FHIR Bulk Data Access, or Epic Bridges experience.\n
  • Experience with cloud-based data platforms (AWS, Azure, GCP) and data pipelines.\n
  • Familiarity with identity management solutions (OAuth, SAML, OpenID Connect) in a healthcare setting.\n
  • Experience with machine learning-ready data structures or real-world evidence (RWE) pipelines in healthcare analytics.