Sr. Software Quality Assurance Engineer

About the role

Spun out of Stanford and MIT, Stellaromics is an innovative biotech startup founded in 2022 and located in Boston, MA. Our pioneering proprietary technology helps researchers and clinicians create comprehensive cellular maps enhancing our understanding of various diseases, with our flagship product STARmap and upcoming Pyxa™ suite of products. We have a passionate management team and committed investors who believe in our patented technology and overall mission to profoundly advance biomedical research and accelerate the discovery of life-saving treatments. The Sr. SQA Engineer will join the software team and play a hands on role testing and validating software for our Pyxa™ Instrument, analytical software and panel / probe design software.

Responsibilities

• Design, develop, and execute comprehensive test plans and test cases for thick client C# applications, web applications, cloud applications and Bioinformatics pipelines.
• Perform functional, regression, integration, and performance testing on software that interfaces with hardware systems.
• Identify, document, and track software defects using Azure DevOps.
• Collaborate with software, mechanical, electrical, systems engineers and Bioinformatics, along with other stakeholders to understand requirements and resolve issues.
• Automate test cases using appropriate tools and frameworks to improve testing efficiency.
• Participate in Pull Request reviews and provide feedback / testing to ensure adherence to quality standards.
• Participate in the continuous improvement of QA processes and methodologies.
• Ensure compliance with industry standards and best practices in software quality assurance.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Bioinformatics or a related field.
• 6-8 years, proven experience as an SQA Engineer, preferably with genomics pipelines, cloud applications and data visualization applications.
• Strong proficiency in Windows, Linux and cloud environments (Azure preferred).
• Experience with test automation tools and frameworks (e.g., Selenium, NUnit, SpecFlow).
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Ability to work independently and as part of a team in a fast-paced environment.
• Familiarity with version control systems (e.g., Git).

Skills

• Experience with continuous integration/continuous deployment (CI/CD) pipelines.
• Knowledge of Agile/Scrum methodologies.
• Experience using Visual Studio to pull, build and test software.
• Working knowledge of Python, NumPy, SciPy, PyTorch.
• Experience working at a lab bench and able to pipette samples.
• Experience working in Biotechnology or other high throughput imaging-based field.