Analytical and Problem solving, Automation, C Programming, C++, Database, Design, DevOps, Effective communication skills, GoLang, Java Programming, Perl Programming, Python Programming, SQL
About Verantos
Verantos (https://verantos.com) is a market leader in high accuracy real-world evidence (RWE) generation. The Verantos RWE platform integrates heterogeneous real-world data sources and generates evidence with the accuracy necessary for regulatory and reimbursement use. The Verantos RWE platform leverages data science and artificial intelligence along with advanced data sources such as electronic health records (EHR) to generate RWE capable of supporting complex clinical studies. Some of the largest biopharma companies in the world are Verantos customers.
We use a heterogeneous tech stack on AWS with data processing, artificial intelligence, workflow and analytic components
Job Description
Verantos is seeking an experienced quality assurance engineer to develop and execute exploratory and automated tests to ensure product quality. As a quality assurance engineer, you will be responsible for creating and implementing a strategy for quality coordination and testing as well as suggesting solutions to identified quality problems. Your role includes designing and implementing tests, debugging, and defining corrective actions.
The role plays an important part in our company’s product development process. Our ideal candidate will be responsible for conducting tests before product launches to ensure software runs smoothly and meets as per the requirements. If you hold an engineering background and enjoy providing end-to-end solutions to software quality problems, we’d like to meet you.
Responsibilities
Qualifications
Verantos is the market leader in high-validity real-world evidence across all therapeutic areas in life sciences. By incorporating robust clinical narrative data, artificial-intelligence technology, and measured validity, Verantos is the first company to generate research-grade evidence at scale. The Verantos RWE platform integrates heterogeneous real-world data sources and generates evidence with the accuracy necessary for market access, medical