\n\n\n\n\n\n
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\n \n \n\n","datePosted":"2022-11-15T13:14:24.375Z","validThrough":"2025-07-20","employmentType":[],"hiringOrganization":{"@type":"Organization","name":"Oncoustics AI","description":"Oncoustics is revolutionizing point-of-care diagnostics with its patented AI solutions that transform inexpensive ultrasound devices into powerful tools for the rapid, non-invasive detection and monitoring of liver diseases. Their innovative approach leverages raw ultrasound signals to provide accurate diagnostics without the need for image interpretation, making it accessible for any clinician. With a focus on improving patient outcomes and experiences, Oncoustics offers a suite of applications that streamline the diagnostic process, reduce costs, and enhance productivity in clinical settings. The company has validated its technology through extensive clinical partnerships and is positioned in a $30B global diagnostic market, addressing a critical need for early detection of liver disease, which is the fastest-growing cause of death globally.","numberOfEmployees":28,"address":[{"address":{"@type":"PostalAddress","addressLocality":"Toronto, ON, Canada"}},{"address":{"@type":"PostalAddress","addressLocality":"North York, Toronto, ON, Canada"}}],"sameAs":"https://oncoustics.com","url":"https://oncoustics.com","logo":"https://cdn.getro.com/companies/3d60cba1-74be-5da2-8fa4-6b131b3d2dc3","keywords":"Biotechnology, Data and Analytics, DeepTech, Health, Software"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON, Canada"}},"baseSalary":{"@type":"MonetaryAmount","currency":null,"value":{"@type":"QuantitativeValue","minValue":null,"maxValue":null,"unitText":"PERIOD_NOT_DEFINED"}}}\n
Quality Assurance / Test Co-op (8 Month)
\nTORONTO - FULL TIME
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Job Description
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Oncoustics is a start-up that uses AI on ultrasound data to help find disease. We are looking to hire a student for an 8 month Co-Op term. Eligible applicants should be in their second year or beyond in a business, engineering, science, or medical based field. Specifics of the opportunity include:
\nResponsibility
\n- \n
- Understand company solutions and customer use \n
- Test solutions for issues, log concerns, and work with development teams to fix \n
- Propose and develop systems to improve QA performance and efficiency \n
- Collaborate efficiently with other team members \n
Requirements
\n- \n
- Must be actively enrolled in an accredited Canadian University or College during the co-op placement. \n
- Experience in working with technology-based solutions, preferably physical devices and mobile applications \n
- Completed at least the second year, and currently enrolled in an accredited Canadian University in Engineering, Comp Sci, Physics, Math, etc \n
Good To Have
\n- \n
- Programming experience \n
- Prior experience in the biomedical field \n
- Self-motivated
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\n \n \nQuality Assurance / Test Co-op (8 Month - Hybrid)
Oncoustics AI
Quality Assurance
Toronto, ON, Canada
Posted 6+ months ago
Quality Assurance / Test Co-op (8 Month)
TORONTO - FULL TIME
Job Description
Oncoustics is a start-up that uses AI on ultrasound data to help find disease. We are looking to hire a student for an 8 month Co-Op term. Eligible applicants should be in their second year or beyond in a business, engineering, science, or medical based field. Specifics of the opportunity include:
Responsibility
- Understand company solutions and customer use
- Test solutions for issues, log concerns, and work with development teams to fix
- Propose and develop systems to improve QA performance and efficiency
- Collaborate efficiently with other team members
Requirements
- Must be actively enrolled in an accredited Canadian University or College during the co-op placement.
- Experience in working with technology-based solutions, preferably physical devices and mobile applications
- Completed at least the second year, and currently enrolled in an accredited Canadian University in Engineering, Comp Sci, Physics, Math, etc
Good To Have
- Programming experience
- Prior experience in the biomedical field
- Self-motivated