QA lead

Verix provides AI-based solutions to commercial Life Science organizations, leveraging our proprietary advanced analytics platform that enables quick building of data-driven applications.  Our customers are some of the largest Life Science companies and they use our solutions for their commercial operations business challenges.

We are looking for a motivated and talented QA lead to join a team of veteran software engineers, data analysts, and BI developers.

The QA lead will build Verix’ QA operations from the ground up, while being 100% hands-on. This involves testing Verix’s advanced analytics platform (server, web application, and underlying AI algorithms), as well as a collection of applications and solutions implemented over it. The QA lead will spearhead the efforts to automate testing where possible.

The optimal candidate will have at least 5 years of experience as a QA engineer testing complex systems (server, client, GUI, database, AI), as well as a demonstrated leadership and management capabilities. If you are looking to play a significant role in a growing team applying innovative solutions that make a difference – This job is for you!


> Define and actuate Verix’s testing methodologies.

> Design and implement test plans for Verix’s platform, as well as for the applications and solutions built upon it.

>Manage and execute test plans throughout the SDLC stages.

>Participate in design meetings and agile meetings (sprint planning, reviews, etc.)

>Define and maintain testing metrics.


> Senior leadership capabilities running processes and initiatives with ability to collaborate and establish basis to scale.

> At least 5 years of experience as a QA engineer

> Passion for quality and for customer experience

> Experience testing complex systems.

> Strong problem solving and analysis skills, attention to details

> Experience working in Agile-like methodologies.

> Proven experience in a leading capacity – people, processes, projects, etc.

> Experience with test-automation – an advantage.

> Experience testing ML/AI – an advantage.

> Good understanding of SQL and relational databases.

> Experience with AWS – an advantage.

> Good communication skills.

> Independent, fast learner.

> B.Sc. in Computer Science (or related) – an advantage

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