We believe that access to medical data is a key catalyst for dramatic change in healthcare. Like in other industries, companies like Plaid, Twilio and Stripe solved key problems in the access, simplification and affordability in managing complex data ecosystems for developers at innovative companies. At Particle, our team is working hard to solve the same problem in healthcare. Health data is more sensitive, much more complex and is at the center of massive regulatory changes in a post COVID world. 

To make this a reality, we’re looking for a healthcare data expert to help us to drive interoperability and have extensive experience working on healthcare data interoperability challenges.

Roles and Responsibilities

• Develop parsing and transformation solutions in native code utilizing existing open source libraries and APIs.
• Take proactive ownership of our efforts to standardize and transform rich medical data from a variety of sources
• Develop and document our implementations of healthcare data formats, including C-CDA, HL7 v2, FHIR, etc.
• Explore vendor specifications and perform gap analysis
• Create data pipelines capable of transforming disparate data into a common format (FHIR R4)
• Implement a QA framework eliminating clinical risk
• Coordinate changes with engineering and business development teams

Qualifications

• Bachelor's Degree in Computer Science, Information Systems, Engineering, or related field, or equivalent relevant work experience
• Deep experience with a variety of programming languages such as Java, C++, Python, Go, Rust
• HL7 knowledge and experience is required with certification preferred
• Expertise with healthcare data formats, particularly parsing and transformation of: JSON (FHIR), XML (C-CDA and IHE profiles), X12 (Claims), DICOM, and EDI (HL7 v2) 
• Data transports experience with REST, SOAP, SFTP, etc
• Strong written and verbal communication skills
• 3+ years integration experience
• Prior experience with data integration engines such as Rhapsody, Ensemble, etc is preferred
• Prior experience with EHR systems such as EPIC, Cerner, Meditech, Allscripts, or Athena is strongly preferred
• NYC location based