Tempus AI
Overview
Join to apply for the
Sr. Integration Analyst
role at
Tempus AI . Passionate about precision medicine and advancing the healthcare industry? Tempus' proprietary platform connects an ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. We are seeking a highly motivated Sr. Data Integration Analyst who is passionate about healthcare data and eager to support our mission. In this role, you will work closely with healthcare organizations, internal stakeholders, and technical teams to facilitate the integration of structured and unstructured data into Tempus systems. Responsibilities
Collaborate with external providers and internal teams to implement EHR/EMR integrations, including order and result interfaces, clinical data ingestion, and interoperability workflows. Support new customer onboarding by providing clear communication, technical guidance, and issue resolution throughout the integration process. Analyze, map, and validate healthcare data from various EHR platforms (Epic, Cerner, Athena, etc.), ensuring compliance with HL7, FHIR, and other interoperability standards. Monitor data quality and integrity, troubleshooting issues related to missing or inconsistent clinical data. Work closely with engineering and product teams to optimize integration workflows, enhance automation, and reduce implementation timelines. Maintain and document best practices, integration guides, and standard operating procedures to improve efficiency and scalability. Support the connectivity and data integration roadmap, ensuring alignment with Tempus\' strategic goals. Required Skills And Qualifications
8+ years of experience in healthcare data integration, EHR interoperability, or a related field. Proficiency in HL7 v2 (ADT, ORU, ORM, etc.), FHIR (R4), API-based integrations, and clinical data standards. Experience working with EHRs such as Epic (Aura, Care Everywhere), Cerner, Flatiron, or similar platforms. Familiarity with the Unix command-line and Git with serialization formats for data exchange (JSON, CSV, etc). Ability to edit and modify short Java programs or Python scripts. Hands-on experience with data transformation, validation, and ETL tools. Experience with interface engines (Corepoint, Mirth, Cloverleaf, Rhapsody, or similar). Strong SQL skills for querying, validating, and troubleshooting healthcare data. Experience working with APIs (REST, SOAP, OAuth 2.0, JSON, XML) for healthcare system integrations. Understanding of HIPAA, PHI data security, and regulatory compliance in healthcare integrations. Experience with monitoring and logging tools to track interface performance and troubleshoot issues. Strong written and verbal communication skills Ability to juggle multiple competing priorities Nice To Have
Epic Interconnect API, FHIR Bulk Data Access, or Epic Bridges experience. Experience with cloud-based data platforms (AWS, Azure, GCP) and data pipelines. Familiarity with identity management solutions (OAuth, SAML, OpenID Connect) in a healthcare setting. Experience with machine learning-ready data structures or real-world evidence (RWE) pipelines in healthcare analytics. Employer Notes
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
#J-18808-Ljbffr
Join to apply for the
Sr. Integration Analyst
role at
Tempus AI . Passionate about precision medicine and advancing the healthcare industry? Tempus' proprietary platform connects an ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. We are seeking a highly motivated Sr. Data Integration Analyst who is passionate about healthcare data and eager to support our mission. In this role, you will work closely with healthcare organizations, internal stakeholders, and technical teams to facilitate the integration of structured and unstructured data into Tempus systems. Responsibilities
Collaborate with external providers and internal teams to implement EHR/EMR integrations, including order and result interfaces, clinical data ingestion, and interoperability workflows. Support new customer onboarding by providing clear communication, technical guidance, and issue resolution throughout the integration process. Analyze, map, and validate healthcare data from various EHR platforms (Epic, Cerner, Athena, etc.), ensuring compliance with HL7, FHIR, and other interoperability standards. Monitor data quality and integrity, troubleshooting issues related to missing or inconsistent clinical data. Work closely with engineering and product teams to optimize integration workflows, enhance automation, and reduce implementation timelines. Maintain and document best practices, integration guides, and standard operating procedures to improve efficiency and scalability. Support the connectivity and data integration roadmap, ensuring alignment with Tempus\' strategic goals. Required Skills And Qualifications
8+ years of experience in healthcare data integration, EHR interoperability, or a related field. Proficiency in HL7 v2 (ADT, ORU, ORM, etc.), FHIR (R4), API-based integrations, and clinical data standards. Experience working with EHRs such as Epic (Aura, Care Everywhere), Cerner, Flatiron, or similar platforms. Familiarity with the Unix command-line and Git with serialization formats for data exchange (JSON, CSV, etc). Ability to edit and modify short Java programs or Python scripts. Hands-on experience with data transformation, validation, and ETL tools. Experience with interface engines (Corepoint, Mirth, Cloverleaf, Rhapsody, or similar). Strong SQL skills for querying, validating, and troubleshooting healthcare data. Experience working with APIs (REST, SOAP, OAuth 2.0, JSON, XML) for healthcare system integrations. Understanding of HIPAA, PHI data security, and regulatory compliance in healthcare integrations. Experience with monitoring and logging tools to track interface performance and troubleshoot issues. Strong written and verbal communication skills Ability to juggle multiple competing priorities Nice To Have
Epic Interconnect API, FHIR Bulk Data Access, or Epic Bridges experience. Experience with cloud-based data platforms (AWS, Azure, GCP) and data pipelines. Familiarity with identity management solutions (OAuth, SAML, OpenID Connect) in a healthcare setting. Experience with machine learning-ready data structures or real-world evidence (RWE) pipelines in healthcare analytics. Employer Notes
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
#J-18808-Ljbffr