Software Development / QA Intern
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Responsibilities
- Assist the Computer Vision team in ensuring software quality and reliability
- Design, implement, and maintain automated test suites using established testing tools
- Develop and maintain scripts to support test automation and validation workflows
- Execute test cases, analyze results, and report defects clearly and efficiently
- Collaborate with developers to debug issues and improve system performance
- Contribute to improving testing processes, tools, and documentation
- Required Qualifications
- Currently pursuing a degree in Computer Science, Software Engineering, or a related field
- Basic knowledge of software development principles and testing methodologies
- Familiarity with at least one programming or scripting language (e.g., Python, JavaScript, Bash)
- Strong analytical and problem-solving skills
- Ability to work independently and as part of a team
Requirements
- Interest or exposure to computer vision or machine learning concepts
- Familiarity with test automation frameworks or QA tools
- Experience with version control systems (e.g., Git)
- Knowledge of CI/CD pipelines is a plus
Benefits
Additional Information
By joining Bio-Techne, you'll join a company with a powerful and positive purpose of enabling cutting-edge research in Life Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent disease worldwide. Pay Range: CHF24,000 - CHF70,125 Placement within the salary range will vary depending on experience, qualifications, geographic location, and internal equity considerations. Intern Pay Rate: CHF 24,000 We are looking for a motivated Software Development / QA Intern to join our Computer Vision team. In this role, you will support the development and quality assurance of our software systems by designing and implementing automated tests and contributing to scripting tasks. This is an excellent opportunity to gain hands-on experience in a fast-paced, innovative environment working on cutting-edge computer vision technologies.
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