Quality Engineer

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October 4

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TetraScience

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Artificial Intelligence • Biotechnology • SaaS

TetraScience is a company dedicated to transforming raw scientific data into AI-native datasets for advanced scientific applications. By collaborating closely with leading biopharmaceutical companies, TetraScience enhances productivity, accelerates insights, and ensures data integrity across the scientific value chain. Their platform offers solutions for next-generation lab data management, AI-driven scientific outcomes, and compliance with industry standards. As the first company to provide a data and AI cloud built specifically for science, TetraScience enables its clients to liberate, unify, and transform their data, overcoming traditional data silos and boosting scientific productivity by providing a flexible, open, and collaborative infrastructure.

51 - 200 employees

Founded 2015

🤖 Artificial Intelligence

🧬 Biotechnology

☁️ SaaS

📋 Description

• Take ownership of the QA process and overall product quality. • Review and use case requirement documents and technical design documents and provide timely and meaningful feedback. • Understand application requirements and use-cases, create test cases, perform manual testing, track test runs and test cycles, report issues and track them meticulously. • Independently estimate, prioritize, plan, and coordinate QE activities. • Develop test cases that cover different edge cases based on use-cases, not let go of any details and be very nuanced in the QE approach. • Use your quality engineering background to work seamlessly in a fast-paced environment while maintaining the strict quality process. • Effectively collaborate with a diverse group of scientists, data engineers and application developers. • Be driven by results - have a pragmatic approach and urgency towards evolving requirements, follow and resolve blockers and basically take things to resolution. • Keep improving test coverage by continuously reviewing customer issues and usage patterns. • Be curious about the science behind the application use-cases and be willing to continuously learn and adapt to the application. • Utilize prior test automation experience to design and implement robust, effective workflow-based tests within our AI-based Playwright test framework. • Use basic experience with databases and data verification to query and verify data integrity and correctness for scientific data applications.

🎯 Requirements

• 5+ years as a Quality Engineer or Quality Assurance Engineer. • Strong knowledge of software QA methodologies, tools and processes • Proven expertise in designing comprehensive test plans, creating test cases and reporting test runs and defects • Experience working in an Agile/Scrum development process • Basic understanding of database systems and SQL for querying and data verification. • Strong proficiency in AI-based test automation, particularly with Playwright. • BS/MS degree in Computer Science, Engineering or a related subject • Proactive and self-motivated, with the ability to thrive in a dynamic, fast-paced environment. • Nice-to-have if you have experience with science background, or experience with scientific instruments. • Nice to have if you have experience working with cloud based applications that are data intensive.

🏖️ Benefits

• Competitive Salary and equity in a fast-growing company. • Supportive, team-oriented culture of continuous improvement. • Generous paid time off (PTO). • Flexible working arrangements - Remote work.