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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in testing healthcare software applications, particularly in validating AI-generated outputs and ensuring compliance with C-CDA standards. Proficient in developing automated testing solutions and collaborating with cross-functional teams to enhance clinical workflows.
Highest-signal resume keywords
C-CDA StandardsAI-Generated Output ValidationTest Automation FrameworksHealthcare Interoperability StandardsClinical Decision Support Testing
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Test Plan DevelopmentXML Document ValidationAutomated Testing SolutionsRegression TestingDefect AnalysisAcceptance Criteria CreationBoundary TestingEdge-Case TestingPerformance TestingUsability Testing
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication Skills
Tools & Technologies
AI-Assisted Testing ToolsAPI Testing ToolsDefect Management PlatformsSMART on FHIRCDS Hooks
Industry Keywords
Healthcare Software TestingClinical Data StandardsAgile DevelopmentDevSecOpsFederal Healthcare Modernization
Tech Stack
Tools & technologiesCloudCyber Security
About the role
Key responsibilities & impact- Develop comprehensive test plans, test cases, and acceptance criteria for AI-powered patient summarization capabilities
- Create traceability between business requirements, clinical data standards, and test scenarios
- Design test coverage across clinical document types including CCDs, Discharge Summaries, Progress Notes, and History & Physical documents
- Develop positive, negative, boundary, and edge-case testing scenarios for AI-enabled clinical applications
- Analyze and validate C-CDA XML documents, including headers, sections, templates, and clinical entries
- Verify extraction and summarization of medications, allergies, laboratory results, procedures, care plans, and diagnoses
- Ensure AI-generated summaries reflect source clinical documentation and maintain traceability to original sources
- Perform functional, integration, system, regression, performance, and user acceptance testing
- Develop and maintain automated test suites for document ingestion, AI summarization, APIs, and user interfaces
- Test CDS workflows and patient-context-driven launch scenarios across multiple data sources and patient encounters
- Support CI/CD pipelines through automated quality gates and continuous testing
- Build automated validation frameworks for AI-generated summaries
- Evaluate AI-generated content for clinical completeness, consistency, usability, accuracy, and reliability
- Identify omissions, inaccuracies, hallucinations, and other AI-generated defects affecting clinical workflows
- Validate AI guardrails, monitoring capabilities, auditability, and quality controls
- Participate in defect triage, root-cause analysis, and release-readiness activities
- Create test documentation, defect reports, traceability matrices, and quality assessments
- Collaborate with software engineers, solution architects, clinicians, product owners, cybersecurity teams, and government stakeholders
- Leverage AI-assisted tools to accelerate testing, automation, regression testing, defect analysis, and quality assurance
- Take on additional tasks as needed to support team objectives and project success
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Information Technology, Health Informatics, Engineering, or a related technical discipline, or equivalent experience
- Minimum of 5 years of experience testing healthcare software applications
- Strong knowledge of Consolidated Clinical Document Architecture (C-CDA) standards, including clinical document structure, sections, templates, and entries
- Hands-on experience reading, validating, and troubleshooting XML-based healthcare data
- Experience with healthcare interoperability standards and clinical data exchange
- Experience testing Clinical Decision Support (CDS) applications and workflows
- Familiarity with SMART on FHIR, CDS Hooks, REST APIs, and related interoperability technologies
- Experience with test automation frameworks, API testing tools, and defect management platforms
- Experience developing and maintaining automated testing solutions within Agile and DevSecOps environments
- Experience with AI-assisted testing tools and techniques for test case generation, automation development, regression testing, defect analysis, and quality assurance
- Familiarity with Generative AI and Large Language Models (LLMs), including using AI to create and maintain automated test scripts, validation frameworks, and test data
- Experience validating AI-generated outputs and establishing quality controls for accuracy, consistency, repeatability, and reliability
- Strong analytical, troubleshooting, and problem-solving skills
- Excellent written and verbal communication skills
- Additional qualifications include VA healthcare systems experience, USCDI knowledge, healthcare terminology knowledge, AI/ML healthcare solution validation, AI-powered testing platforms, autonomous or semi-autonomous AI testing workflows, prompt engineering, accessibility and usability testing, Agile/DevSecOps/cloud-native environments, and federal healthcare modernization exposure
- U.S. Citizenship is required
- Must successfully complete a background check
- Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required
- Sponsorship is not offered
Benefits
Comp & perks- Medical/Dental/Vision
- 401k with Employer Match
- PTO + Federal Holidays
- Corporate Laptop
- Training Opportunities
- Remote Opportunity