Summary
The EHR Integration Analyst supports GeneDx interoperability solutions with a primary focus on Point-to-Point (P2P) integrations and external connectivity workflows. This role serves as a key resource for customer support, workflow analysis, vendor coordination, testing, documentation, and implementation readiness activities.
The analyst works closely with Product, Engineering, Operations, Clinical teams, customers, and third-party vendors to support integration lifecycle activities, troubleshoot issues, drive workflow discussions, and ensure successful customer outcomes. This role contributes to the continuous improvement of support, testing, documentation, and implementation processes across the interoperability portfolio.
Job Responsibilities
- Serve as a primary support resource for Point-to-Point integrations and interoperability solutions.
- Monitor, triage, investigate, and coordinate resolution of customer-reported issues and integration alerts.
- Utilize Salesforce, ServiceNow, Jira, and other support tools to document, track, and manage support requests and enhancement opportunities.
- Coordinate troubleshooting efforts across Product, Engineering, Operations, vendors, and customer technical teams.
- Participate in shared support rotations across the EHR Integration & Optimization team.
- Manage and coordinate integration lifecycle activities for Point-to-Point interoperability solutions, including discovery, workflow analysis, requirements gathering, testing, implementation readiness, go-live support, and ongoing operational support.
- Support onboarding and implementation activities for new interoperability partners and solutions including Athena, eClinicalWorks, and future integration projects.
- Facilitate workflow discovery, requirements gathering, integration planning, and stakeholder discussions to drive successful interoperability outcomes. Coordinate discussions related to workflow requirements, data collection needs, and Ask-at-Order-Entry (AOE) requirements.
- Develop, maintain, and execute documented testing scenarios, test scripts, and validation procedures for supported integrations.
- Coordinate testing activities and support release validation, regression testing, and implementation readiness efforts.
- Create and maintain integration documentation, workflow diagrams, testing artifacts, support runbooks, troubleshooting guides, and implementation records.
- Document interface mappings, workflow decisions, message translations, dependencies, and operational considerations.
- Work closely with Engineering, consultants, and interoperability platform resources supporting Redox, Corepoint, HL7 interfaces, APIs, and related technologies.
- Develop an understanding of supported interoperability platforms, vendor capabilities, and integration workflows to support troubleshooting and future implementation efforts.
- Demonstrate ownership by proactively coordinating stakeholders, driving discussions, documenting decisions, tracking action items, and ensuring issues progress to resolution.
- Contribute to the continuous improvement of support, testing, documentation, and implementation processes across the interoperability portfolio
Education, Experience, and Skills
- 3+ years of experience supporting healthcare technology, healthcare IT, interoperability solutions, laboratory systems, EHR platforms, or related healthcare applications.
- Experience working directly with customers, vendors, and external stakeholders.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent written and verbal communication skills.
- Strong organizational, documentation, and follow-up skills.
- Experience utilizing ticketing, project management, and support management systems.
- Ability to manage multiple priorities in a fast-paced environment.
- Ability to effectively collaborate across technical and non-technical teams.
- Strong customer service mindset with a focus on issue ownership and resolution.
At GeneDx, we're driven by urgency and purpose: helping patients get diagnosed earlier. Our mission, to empower everyone to live their healthiest life through genomics, drives our team to make a tangible impact each day – and shapes our culture where high standards, strong teamwork, and meaningful ownership are the norm. We act with intention, support one another, and deliver work we're proud to put our names on.
Here’s what you can expect day to day:
1. Play like a champion (step up, redefine what’s possible, own it)
We bring energy, focus, and a bias for action. We step up, take initiative, and deliver on our commitments – with quality, speed, and care.
We push past the obvious. We challenge assumptions, raise the bar, and make thoughtful, decisive calls — choosing progress over perfection.
We stay curious, ask questions, and share direct feedback with respect. We adapt quickly and keep learning through collaboration and continuous improvement.
If you’re motivated by meaningful work, a fast-moving environment, and teammates who care deeply about outcomes, you’ll thrive at GeneDx.
We welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law.
GeneDx is a place where people from all backgrounds can make an impact.
All privacy policy information can be found here.
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
