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\n\n\n
\n\n\n","datePosted":"2022-11-03T13:28:48.227Z","validThrough":"2025-06-20","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"}}}\n![\"\"](\"https://global-uploads.webflow.com/63348796d74b71c28ac46bd6/633488f48e6e9a888711854b_oncoustics_Logo.png\")
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Data Science/ Machine Learning Co-op (8 Month)
\nTORONTO: RESEARCH AND DEVELOPMENT - 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 computer engineering or medical based field, and have some programming experience. Specifics of the opportunity include:
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Responsibility
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- Learn the basics and help in the construction of ML models for classification and object detection \n
- Assisting in and learning the tools to feature engineering and signal processing to improve data quality \n
- Research and keep up to date with state of the art methods in signal processing and ML \n
- Collaborate with other team members for most efficient development
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Requirements
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- Must be actively enrolled in an accredited Canadian University or College during the co-op placement. \n
- Experience in coding, ideally Python and MATLAB \n
- Completed at least the second year, and currently enrolled in a accredited Canadian undergrad in Engineering, Comp Sci, Physics, Math, etc \n
Good To Have
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- Industry experience in signal processing and/or ML \n
- Prior experience in the biomedical field
\n \n - Experience with ultrasound imaging and processing
\n \n - Experience with pytorch, sklearn, numpy, and scipy
\n \n - Experience with signal and Image processing; machine vision
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\nData Science/ Machine Learning Co-op (8 Month - Hybrid)
Oncoustics AI
Software Engineering, Data Science
Toronto, ON, Canada
Posted 6+ months ago
Data Science/ Machine Learning Co-op (8 Month)
TORONTO: RESEARCH AND DEVELOPMENT - 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 computer engineering or medical based field, and have some programming experience. Specifics of the opportunity include:
Responsibility
- Learn the basics and help in the construction of ML models for classification and object detection
- Assisting in and learning the tools to feature engineering and signal processing to improve data quality
- Research and keep up to date with state of the art methods in signal processing and ML
- Collaborate with other team members for most efficient development
Requirements
- Must be actively enrolled in an accredited Canadian University or College during the co-op placement.
- Experience in coding, ideally Python and MATLAB
- Completed at least the second year, and currently enrolled in a accredited Canadian undergrad in Engineering, Comp Sci, Physics, Math, etc
Good To Have
- Industry experience in signal processing and/or ML
- Prior experience in the biomedical field
- Experience with ultrasound imaging and processing
- Experience with pytorch, sklearn, numpy, and scipy
- Experience with signal and Image processing; machine vision