Medical Device Integration Engineer

Project description

This role involves integrating bedside medical devices with healthcare systems to enable real-time clinical workflows and device-to-EHR data exchange. You will work with devices such as vital signs monitors, ventilators, infusion pumps, anesthesia machines, ECG/telemetry, and smart beds, ensuring seamless connectivity and compliance with healthcare standards. The position requires strong knowledge of HL7 messaging, device communication protocols, and troubleshooting connectivity issues. Exposure to FHIR/REST APIs and emerging technologies like AI (LLMs, Agentic AI) is a plus.

Responsibilities

• Integrate bedside medical devices (vital signs monitors, ventilators, infusion pumps, anesthesia machines, ECG/telemetry, smart beds) with EHR systems. Implement and troubleshoot HL7 messaging (ADT, ORU, ORM) and flowsheet mappings. Support real-time clinical workflows and ensure accurate device-to-EHR data exchange. Configure and maintain serial-to-IP connectivity and converters for medical devices. Monitor device connectivity using SNMP, syslog, and other monitoring tools. Collaborate with clinical and IT teams to ensure compliance with healthcare standards. Document integration processes, workflows, and technical specifications.

SKILLS

Must have

• 5+ years of hands-on experience with medical device integration in healthcare environments. working with EHR systems and any knowledge around HL7 Integrations. US healthcare technologies exp is must Strong understanding of bedside medical devices (vital signs monitors, ventilators, infusion pumps, anesthesia machines, ECG/telemetry, smart beds). Proficiency in HL7 messaging (ADT, ORU, ORM) and flowsheet mappings. Experience supporting real-time clinical workflows and device-to-EHR data exchange.

Nice to have

Experience with serial-to-IP device connectivity and converters. Familiarity with IEEE 11073 medical device communication standards. Knowledge of SNMP, syslog, and device monitoring technologies. Programming or scripting experience (Java, C++, .NET, Python, JavaScript). Exposure to FHIR/REST API-based device integrations. Experience with AI technologies (LLMs, Agentic AI).