Quality Assurance Lead

Quality Assurance (QA) Lead

PANTHERx is the nation's largest rare disease pharmacy, and we put the patient experience at the top of everything that we do. If you are looking for a career in the healthcare field that embraces authentic dedication to patient care, you don't need to look beyond PANTHERx. In every line of service, in every position and area of expertise, PANTHERx associates are driven to provide the highest quality outcomes for our patients.

We are seeking team members who:

Are inspired and compassionate problem solvers;

Produce high quality work;

Thrive in the excitement of the ever-challenging environment of modern medicine; and

Are committed to achieving superior health outcomes for people living with rare and devastating diseases.

At PANTHERx, we know our employees are the driving force in what we do. We cultivate talent and encourage growth within PANTHERx so that our associates can continue to explore their interests and expand their careers. Guided by our mission to provide uncompromising quality every day, we continue our strategic growth to further reach those affected by rare diseases.

Join the PANTHERx team, and define your own RxARE future in healthcare!

The Quality Assurance (QA) Lead is responsible for driving software quality across our technology portfolio and supporting the delivery of exceptional digital experiences for our Specialty Pharmacy team.

The QA Lead is responsible for leading quality assurance efforts across multiple projects, establishing testing standards, and promoting best practices for manual, automated, and AI-assisted testing. This role combines hands-on testing with leadership responsibilities, including mentoring QA team members, improving testing processes, and collaborating with stakeholders to deliver high-quality software.

The ideal candidate for this role will have strong technical knowledge of software QA and emerging AI-driven testing methodologies. The QA Lead is a collaborative problem-solver with excellent communication skills who can drive continuous improvement and help build a culture of quality across the organization.

Responsibilities

• Develops and oversees test plans, test strategies and executes test cases based on business requirements.
• Monitors and guides the QA process to ensure the delivery of high-quality, reliable software solutions
• Promotes and ensures adherence to established QA methodologies, processes, standards, and best practices across the testing lifecycle.
• Leads testing efforts for front-end, back-end and API solutions across mobile and desktop, ensuring comprehensive coverage and risk mitigation
• Identifies and implements methods and processes tdata quality, consistency, and integrity across multiple systems and data sources
• Validates data, reports and dashboards through comprehensive testing and quality assurance controls
• Accountable for QA outcomes, including managing defect reporting, generating failure logs, and identifying quality trends
• Provides QA leadership and strategic input during team meetings, projecting planning sessions, and Scrum ceremonies
• Develops and reviews SQL queries used to create, analyze and validate test data Communicates testing progress, quality metrics, risks, and release readiness recommendations to stakeholders as the QA subject matter expert across multiple initiatives
• Leads the design, development, and implementation of automated testing for desktop and mobile web, native applications, and desktop applications.
• Leverages AI-powered testing tools and frameworks to enhance test coverage and efficiency.
• Implements machine learning models for predictive defect analysis and risk-based testing.
• Utilizes AI-driven test case generation and optimization techniques to enhance testing effectiveness and productivity
• Mentors, coaches, and develops QA engineers, building their technical skills in both traditional and AI-assisted testing practices to raise the overall capability of the team.
• Leads initiatives to advance QA capabilities and maturity, including introducing new tools, frameworks, and best practices for manual, automated, and AI-driven testing.
• Defines, tracks, and reports on QA metrics (e.g., defect escape rate, test coverage, automation coverage, and cycle time) to measure quality outcomes and drive continuous improvement.
• Evaluates and champions the adoption of AI-powered testing tools and techniques across the QA team to accelerate test creation, execution, and defect analysis.
• Serves as a technical escalation point for complex…