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\n\n\n","datePosted":"2022-11-03T13:28:48.227Z","validThrough":"2025-07-22","employmentType":[],"hiringOrganization":{"@type":"Organization","name":"Oncoustics AI","description":"Oncoustics turns low-cost, point-of-care ultrasound systems into powerful and portable surveillance, diagnostic and monitoring systems for preventive care and early intervention.","numberOfEmployees":24,"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":"Health, Medical Devices"},"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![\"\"](\"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