Rad AI is transforming healthcare with artificial intelligence, focusing on enhancing radiology through AI-driven solutions. They are seeking a Senior Implementation Engineer to develop and maintain HL7 and FHIR interfaces, provide technical support during product implementations, and collaborate with customers to ensure successful integration of their systems.
Responsibilities:
- Develop and maintain HL7 and FHIR interfaces with our customers' systems, working closely with the customer's interface teams
- Lead the standardization of our interfaces across products and the creation of documentation for our interfaces
- Provide technical expertise, guidance, and support during product implementation to ensure successful customer utilization
- Work on monitoring and alerting of interface health
- Test and troubleshoot HL7 and FHIR implementations to ensure reliability and compatibility
- Facilitate end-to-end implementation testing with customers
- Provide end-to-end technical assistance for our new clients during their implementation testing process
- Collaborate with Developers and Engineers on interface-related tasks to continually improve integration methods and/or custom functionality to meet customer needs
- Provide advanced technical customer support as necessary after go-live
- Assist in mentoring and upskilling teammates in HL7 and FHIR, and acting as an internal leader in FHIR and HL7 best practices
Requirements:
- 5+ years of experience in HL7 v2 interfacing
- Proven technical background, should be comfortable reading logs, source code, querying DBs using SQL
- Familiarity with REST APIs, JSON, and XML
- Familiarity/Experience with JavaScript, Typescript, and/or Python
- Strong understanding of the Healthcare IT ecosystem and major clinical and system integration points
- A desire to become an expert with FHIR
- Strong attention to detail, and experience in testing and validating data mappings
- Ability to communicate effectively with customer IT and end users, as well as our product management and engineering
- Willingness to learn and adapt in a fast-paced startup environment
- Strong understanding of radiology workflow
- Experience with FHIR
- Experience in a healthcare startup