PLEASE NOTE BEFORE APPLYING: THIS ROLE IS LOCATED IN ATLANTA, GA AND THE CHOSEN CANDIDATE MUST BE LOCATED/RELOCATE HERE AS WELL. IN ADDITION, CODOXO IS NOT ABLE TO OFFER SPONSORSHIP OR ACCOMMODATE ANY CANDIDATES THAT ARE CURRENTLY BEING SPONSORED NOW OR IN THE FUTURE
Do you want to help make healthcare more effective and affordable for everyone? That’s our mission at Codoxo. The U.S. spends more on healthcare than any other country in the world, but not all of the $3.8 trillion goes to real patient care. A significant portion, up to 10% or $380 billion, is lost to fraud, waste, and abuse.
Codoxo’s patented artificial intelligence technology helps healthcare companies and agencies identify and act quickly to control costs. Codoxo now has six AI-powered applications that help every department across health insurance payers proactively bring down costs and reduce fraud, waste, and abuse – so more dollars to toward patient care.
We are looking for a QA Engineer to work with our Data Science team to develop and execute exploratory and automated tests to ensure product, algorithm, and data quality including performance testing. The QA Engineer responsibilities include designing and implementing tests and debugging. You will also review system requirements and track quality assurance metrics (e.g. defect densities and open defect counts.) You will be responsible for conducting tests before product launches to ensure software runs smoothly and meets client needs, while being cost effective.
Required Skills:
- Strong experience in writing Python
- Solid knowledge of SQL and database
- Proven work experience in software development and software quality assurance
- Strong knowledge of software QA methodologies, tools, and processes
- Experience in writing clear, concise, and comprehensive test plans and test cases
- Hands-on experience with automated testing tools
- Experience working in an Agile development process
- Experience with performance and security testing a plus
Preferences:
- BS/MS Degree in Computer Science, Engineering, Data Analytics, or related subject
- Experience working on AWS platform
- Familiar with DevOps model
- Familiar with either Unittest or Pytest
- Familiarity with optimization and/or machine learning techniques is a plus
- Memory and time profiling experience of code is a plus
- Strong background in statistics is preferred
- Familiarity with Linux OS environment is preferred
- Good understanding for Healthcare claim data will be a plus