\n\n\n\n\n\n
\n\n\n
\n\n\n","datePosted":"2022-11-03T13:28:48.227Z","validThrough":"2025-01-07","employmentType":[],"hiringOrganization":{"@type":"Organization","name":"Oncoustics AI","description":"Oncoustics is creating and deploying advanced AI solutions for low cost, non-invasive surveillance, diagnostics, and treatment monitoring of diseases with high unmet clinical need. Unlike other players in the space, Oncoustics does not do image recognition. Instead, Oncoustics applies AI to raw ultrasound signals from readily available handheld ultrasound devices to rapidly differentiate healthy versus diseased tissues. There's a wealth of information in these raw signals and this approach reveals novel biomarkers that can be aligned with existing standards and categorization systems. Initially targeting liver disease, a $30B global diagnostic market, Oncoustics has filed a Breakthrough Device Designation Request with the FDA for the OnX that detects liver fibrosis and the 510K is underway. Several follow-on liver products are in development. Oncoustics also has clinical data on other organ indications including prostate, kidney, breast and thyroid diseases and cancers.","numberOfEmployees":29,"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","memberOf":{"@type":"Organization","name":"University of Toronto Entrepreneurship","description":"All things entrepreneurship at @UofT: #UofTStartup news, incubators/accelerators, events in #ONRampUofT & more. Subscribe to our newsletter https://t.co/ToPFIVQtBP","logo":"https://cdn.filepicker.io/api/file/8Jn9yPIRSU2UzWjclVN7","url":"jobs.entrepreneurs.utoronto.ca"},"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\")
\n
\n\n
Data Science/ Machine Learning Co-op (8 Month)
\nTORONTO: RESEARCH AND DEVELOPMENT - FULL TIME
\n
\n\n
Job Description
\n
\n\n
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:
\n
\n\n
Responsibility
\n- \n
- 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
\n \n
Requirements
\n- \n
- 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
\n- \n
- 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
\n \n
\n\n\n\n
\nData Science/ Machine Learning Co-op (8 Month - Hybrid)
Oncoustics AI
Software Engineering, Data Science
Toronto, ON, Canada
Posted on Thursday, November 3, 2022
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