Senior QA Engineer

🕒 May 22

🇺🇸 United States – Remote

💵 $115k - $130k / year

⏰ Full Time

🟠 Senior

🔧 QA Engineer (Quality Assurance)

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Claritas Rx

WebsiteLinkedInAll Job Openings

51 - 200 employees

⚕️ Healthcare Insurance

☁️ SaaS

💊 Pharmaceuticals

💰 Private Equity Round on 2021-03

Healthcare Insurance • SaaS • Pharmaceuticals

Claritas Rx is a healthcare analytics company that leverages AI to enhance patient access to life-changing treatments. The company provides a suite of solutions including the Ascend AI Platform, Patient Watchtower, Patient Services CRM, and Cell and Gene Performance Benchmarking. Its offerings focus on improving patient visibility, predicting early risks, engaging partners efficiently, and optimizing patient support strategies. By using AI-driven analytics, Claritas Rx helps healthcare providers boost fill rates and adherence for their brands, ensuring patients do not fall through the cracks. The company specializes in providing insights into patient access issues and performance benchmarking in the pharmaceutical industry.

📋 Description

• Develop Quality Assurance strategy for Claritas Rx • Develop test plans, test data and test cases for new features, end-to-end system tests and regression tests • Execute all tests • Automate unit tests, on path to CI/CD • Test for production quality, both pre & post deployment • Work with development, product and customer teams to research existing data issues and suggest solutions • Verify the quality of data, ensure incoming data matches existing data specifications, verify functionality and data output against requirements, using complex SQL scripts as needed • QA review queries created by developers for adherence to standards and performance issues • Report on testing status, milestones and issues to project stakeholders • Support off-hours launch and monitoring of systems with teams as needed

🎯 Requirements

• Experience in setting up and maintaining QA Environment and Test Data Management • Experience in system testing, regression testing, functional testing, black box testing and white box testing • Experience with automated end-to-end testing tools/frameworks • Good SQL experience querying and extracting data from databases • Basic programming skills in Python • Data concepts (ETL, data structures, metadata and workflow management) • Solving complex data and technology problems • Experience working with data integration tools like Talend • Experience working with cloud platforms like AWS • Ability to work in a fast paced, dynamic and team-oriented environment • Excellent communication skills