Would you like to join an innovative team driven by a bold vision – unleashing tools to accelerate breakthroughs in human health? The Software Test Lead leads software verification activities to ensure products meet defined requirements and quality expectations. The role combines test planning, hands-on execution, defect investigation, and coordination with development and cross-functional teams. A key responsibility is to actively evaluate, adopt, and integrate company-approved AI tools that streamline verification, expand test coverage, reduce repetitive work, and improve the clarity and consistency of test documentation. The Software Test Lead remains accountable for the accuracy, traceability, and reliability of verification results. Here's a potential JD Software Quality Engineering Lead Position summary The Software Test Lead leads software verification activities to ensure products meet defined requirements and quality expectations. The role combines test planning, hands-on execution, defect investigation, and coordination with development and cross-functional teams. A key responsibility is to actively evaluate, adopt, and integrate company-approved AI tools that streamline verification, expand test coverage, reduce repetitive work, and improve the clarity and consistency of test documentation. The Software Test Lead remains accountable for the accuracy, traceability, and reliability of verification results. Key responsibilities Software verification and test leadership Lead verification planning, prioritization, and execution across assigned software releases. Translate requirements and acceptance criteria into test plans, test cases, and documented verification evidence. Perform and coordinate functional, integration, system, and regression testing, as applicable. Identify, document, investigate, and track defects; collaborate with developers to confirm fixes and assess potential impact. Maintain traceability between requirements, test coverage, defects, and results. Communicate verification progress, quality risks, and readiness recommendations to project stakeholders. Guide team members in testing practices and promote consistent, repeatable verification methods. AI adoption and workflow improvement Proactively identify and evaluate available AI tools for their suitability in software verification, using company-approved tools and following applicable data-handling requirements. Integrate AI into appropriate activities, including test design, test-data preparation, automation development, log analysis, defect investigation, and documentation. Review and validate AI-generated outputs before incorporating them into test assets, conclusions, or release evidence. Expand automated and AI-assisted testing while applying human judgment to exploratory testing, risk assessment, and final verification decisions. Measure improvements in testing efficiency, coverage, repeatability, and defect detection. Document effective practices, share lessons learned, and support team adoption of useful AI capabilities. Collaboration and continuous improvement Work with development, product, and other stakeholders to clarify requirements and resolve verification issues. Identify opportunities to improve test environments, tools, processes, and reporting. Maintain clear, reproducible records of testing activities and results. Follow applicable company quality procedures and product-specific verification requirements. Qualifications and capabilities Experience in software testing, verification, defect management, and test documentation. Demonstrated ability to lead testing activities and coordinate work across teams. Strong analytical, troubleshooting, organizational, and communication skills. Experience with test management and defect tracking tools. Ability to develop or maintain automated tests and supporting scripts. Ability and willingness to learn, evaluate, and adopt AI tools, including critically assessing their outputs and limitations. Sound judgment in prioritizing verification work according to product risk and project needs. Expected outcomes Reliable, traceable verification evidence that supports informed release decisions. Earlier identification and clear communication of defects and quality risks. Broader, more repeatable test coverage and reduced manual effort. Demonstrable improvements from AI adoption without compromising verification quality. The Company is committed to providing an inclusive and barrier free recruitment process to applicants with accessibility needs in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act (AODA). If you require an accommodation during this process, please inform The Company of your requirements. We are an equal opportunity employer. Range for Role: $98,000.00-$140,000.00 All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. Thank you for your interest in Standard BioTools! We are an innovative life sciences industry leader that is accelerating global research on multiple frontiers of human health. We seek team members who share a passion for our vision of becoming a top life science tools company and the established standard in our customers’ workflows. This is an exciting and pivotal time for Standard BioTools™. Each team member has a role to play in the company’s success, a role informed and influenced by our core values: • Customer Commitment. • Integrity. • Respect. • Continuous Improvement. Let’s begin a journey together, delivering on our vision, guided by our values, making a meaningful difference in the world.

Software Quality Engineering Lead.

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