
501 - 1000 employees
Founded 1983
🛡️ Insurance
💼 Consulting
⚖️ Legal
Insurance • Consulting • Legal
Medical Review Institute of America, LLC is a company specializing in clinical and utilization review services. They offer a comprehensive suite of data-driven solutions, including prior authorization optimization, second opinions, and specialty drug reviews, aimed at ensuring the right care is delivered at the right time and in the right place. MRIoA provides services to health plans, pharmacy benefit managers, government entities, and self-insured employers, among others. They leverage technology and a network of professionals to streamline clinical decisions, enhance provider performance, and ensure compliance with regulatory requirements across all 50 states. Their tools and platforms are designed to optimize clinical reviews, reduce costs, and improve patient outcomes through evidence-based care pathways and telehealth solutions.
🕒 August 25
🇺🇸 United States – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🔧 QA Engineer (Quality Assurance)
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501 - 1000 employees
Founded 1983
🛡️ Insurance
💼 Consulting
⚖️ Legal
Insurance • Consulting • Legal
Medical Review Institute of America, LLC is a company specializing in clinical and utilization review services. They offer a comprehensive suite of data-driven solutions, including prior authorization optimization, second opinions, and specialty drug reviews, aimed at ensuring the right care is delivered at the right time and in the right place. MRIoA provides services to health plans, pharmacy benefit managers, government entities, and self-insured employers, among others. They leverage technology and a network of professionals to streamline clinical decisions, enhance provider performance, and ensure compliance with regulatory requirements across all 50 states. Their tools and platforms are designed to optimize clinical reviews, reduce costs, and improve patient outcomes through evidence-based care pathways and telehealth solutions.
• Test software applications created or updated by the Application Development team • Conduct structured peer and code reviews of test artifacts • Design, create, and maintain realistic and compliant test data sets, including PHI-safe synthetic healthcare data • Design and execute validation strategies for AI/ML and RAG features • Participate in test planning, execution tracking, defect management, and reporting • Provide input on release readiness criteria to Engineering and Product stakeholders • Maintain the regression suite after every release • Develop and maintain automated test suites in Python and JavaScript/Node.js integrated into CI/CD pipelines • Write and review complex SQL queries, joins, and aggregations to validate data accuracy and reconciliation • Validate data flows across source systems, transformation layers, and reporting/consumption layers • Design and execute test strategies for AI/ML, RAG pipelines, and AI-assisted features • Build and maintain automated evaluation harnesses and datasets for AI/ML features • Validate applications, APIs, and test environments deployed on-premises and on Microsoft Azure • Read and interpret React, Node.js, Python, and ColdFusion source code, pull requests, and technical designs • Write detailed test cases and test plans tracing to code paths, business rules, and acceptance criteria • Partner with developers during code review to identify insufficient coverage, untested branches, and high-risk changes • Perform post-deployment validation in production • Investigate production defects and data issues, perform root cause analysis, and drive resolution with Engineering
• 5+ years of experience in automated software testing • 5+ years of experience in manual software testing • 5+ years of experience in component-level testing • 5+ years of experience in end-to-end testing • Proficiency in SQL • Proficiency in React • Proficiency in Node.js • Proficiency in Python source code in GitLab • Proficiency in testing Artificial Intelligence (AI) • Proficiency in testing Machine Learning (ML) • Proficiency in evaluating Artificial Intelligence (AI) • Proficiency in evaluating Machine Learning (ML) • Proficiency in testing Retrieval-Augmented Generation (RAG) • Proficiency in testing generative AI features • Proficiency in testing workloads on Microsoft Azure • High School Diploma required • Ability to pass a background screen before beginning employment • Newly hired employees must take a drug screen • Agreement to necessary Compliance Regulations on the first day of employment • Adherence to applicable HIPAA regulations and company policies regarding confidentiality, privacy, and security of sensitive health information
• A competitive compensation package • Healthcare, vision, and dental insurance • A generous 401(k) match • Paid vacation, PTO, and holidays • Growth and training opportunities • An award-winning remote work environment
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