高级自动化工程师（远程机会）
Senior Automation Engineer (Remote Opportunity)
VetsEZ目前正在寻找一名高级自动化工程师，该职位为100%远程工作，支持一项大型联邦政府医疗保健现代化项目。在此职位中，您将支持在联合纵向查看器（JLV）临床决策支持（CDS）平台上开发、验证和自动化基于人工智能的患者健康数据摘要功能。理想的候选人应具备丰富的医疗保健互操作性经验，了解C-CDA标准，有测试复杂医疗应用的经验，并具备测试自动化和AI驱动的质量工程的实际经验。
候选人必须居住在美国本土。
职责
- 为基于人工智能的患者摘要功能制定全面的测试计划、测试用例和验收标准。
- 在业务需求、临床数据标准和测试场景之间建立可追溯性。
- 设计覆盖各类临床文档类型的测试范围，包括护理连续性文档（CCD）、出院摘要、病程记录和病史与体检文档。
- 为基于人工智能的临床应用程序设计正面、负面、边界和边缘情况的测试场景。
- 分析和验证C-CDA XML文档，包括标题、章节、模板和临床条目。
- 验证临床信息的准确提取和摘要，包括药物、过敏、实验室结果、程序、护理计划和诊断。
- 确保人工智能生成的摘要准确反映原始临床文档，并保持与原始临床来源的可追溯性。
- 执行功能测试、集成测试、系统测试、回归测试、性能测试和用户验收测试。
- 开发和维护用于文档摄入、人工智能摘要、API和用户界面的自动化测试套件。
- 测试CDS工作流和基于患者上下文的启动场景，涵盖多个数据源和患者就诊记录。
- 通过自动化质量门禁和持续测试支持CI/CD流水线。
- 构建人工智能生成摘要的自动化验证框架。
- 评估人工智能生成内容的临床完整性、一致性、可用性、准确性和可靠性。
- 识别可能影响临床流程的人工智能生成缺陷，如遗漏、不准确、幻觉等。
- 验证人工智能的防护机制、监控能力、可审计性和质量控制。
- 参与缺陷分类、根本原因分析和发布准备活动。
查看英文原文
VetsEZ is currently looking for a Senior Automation Engineer for a 100% remote position supporting a large federal government healthcare modernization project. In this role, you will support the development, validation, and automation of an AI-powered Patient Health Data Summarization capability within the Joint Longitudinal Viewer (JLV) Clinical Decision Support (CDS) platform. The ideal candidate will have strong healthcare interoperability experience, knowledge of C-CDA standards, experience testing complex healthcare applications, and hands-on experience with test automation and AI-enabled quality engineering.
The candidate must reside within the continental US.
Responsibilities
- 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 Continuity of Care Documents (CCD), 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 accurate extraction and summarization of clinical information, including medications, allergies, laboratory results, procedures, care plans, and diagnoses.
- Ensure AI-generated summaries accurately reflect source clinical documentation and maintain traceability to original clinical 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 that could impact 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 test development, test automation, regression testing, defect analysis, and quality assurance activities.
- Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.
Requirements
- 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
- Experience supporting Department of Veterans Affairs (VA) healthcare systems, including JLV or similar clinical viewer applications.
- Knowledge of USCDI and healthcare interoperability requirements.
- Familiarity with healthcare terminologies such as SNOMED CT, LOINC, RxNorm, and ICD.
- Experience validating AI/ML-enabled healthcare solutions.
- Experience with AI-powered testing platforms such as GitHub Copilot, Microsoft Copilot, Testim, Functionize, Mabl, or similar tools.
- Experience creating autonomous or semi-autonomous AI testing workflows, including test-case generation, coverage analysis, synthetic test data, and automated defect triage.
- Understanding of prompt engineering and AI evaluation methodologies for software quality assurance.
- Knowledge of accessibility and usability testing within healthcare environments.
- Experience working within Agile, DevSecOps, and cloud-native development environments.
- Exposure to healthcare data analytics and modernization initiatives within federal healthcare agencies.
Security Clearance Requirements
U.S. Citizenship is required.
All selected candidates must successfully complete a background check.
Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.
Benefits
- Medical/Dental/Vision.
- 401k with Employer Match.
- PTO + Federal Holidays.
- Corporate Laptop.
- Training Opportunities.
- Remote Opportunity.
VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Sorry, we are unable to offer sponsorship at this time.
Originally posted on Himalayas