Lead Quality Assurance Analyst (Manual Testing / HL7 / UAT) - 100% Remote

Remote Full-time
Optomi, in partnership with a leading healthcare services organization, is seeking a Lead QA Analyst for a contract‑to‑hire opportunity. This company is rapidly growing and is investing heavily in modernizing its systems. They are looking for a hands‑on QA professional to establish test automation practices from the ground up, train the team on automation, and drive quality across key initiatives such as system integrations and EMR implementations.

Experience of the Right Candidate
• 5+ years of professional software testing experience with a strong focus on manual testing.
• Proven background in creating testing standards and processes, and training teams on quality assurance best practices.
• Expertise with tools such as Selenium or UiPath (or similar) and the ability to recommend cost‑effective automation solutions.
• Experience validating large data sets and automating these validation processes.
• Healthcare industry experience (EMR, EHR, HL7, FHIR, eRAD, PACS) is a strong plus.
• Excellent written and verbal communication skills with the ability to clearly explain technical concepts to non‑technical team members.
• Goal‑oriented, self‑driven, and comfortable working in a fast‑paced environment with cross‑functional teams.

Responsibilities of the Right Candidate
• Implement and lead automation efforts: introduce automation tools and frameworks, and train the QA team on usage and best practices.
• Collaborate across teams: work with developers, project managers, business analysts, and other QA professionals to ensure high‑quality releases.
• Analyze requirements: create test scenarios and traceability matrices aligned with project requirements and acceptance criteria.
• Build and maintain test assets: develop detailed test cases and automate them to cover functional and non‑functional aspects of the product.
• Execute and document testing: conduct both manual and automated tests, report clear results, and track defects through resolution.
• Data validation: automate the validation of large data sets to improve speed and accuracy.
• Regression and release testing: ensure that new features or enhancements do not negatively affect existing functionality.
• Process improvement: actively participate in initiatives to enhance testing methodologies and efficiency.
• Communicate effectively: clearly articulate issues, progress, and recommendations to both technical and non‑technical stakeholders.

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