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    • Expertise in medical imaging analysis or signal processing.
    • Remain aware of new innovations in the use of AI/ML in medical imaging and ultrasound.
    • Expertise in medical imaging analysis or signal processing with AI.
    • Remain aware of new innovations in the use of AI/ML in medical imaging and ultrasound.
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    • Experience with data warehousing for medical imaging data.
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    • Experience working with DICOM data — including network operations or file processing — and 3D medical imaging.
    • Error reduction through automated systems.
    • Experience with time-of-flight imaging, depth processing, 3D imaging, or related calibration and correction algorithms.
    • Advantage: Background in mathematical modelling or algorithms.
    • Design and build high‑performance C++ applications for lidar data processing.
    • Demonstrated proficiency in at least one object oriented programming language and Image processing algorithms is essential.
    • Starting 3 weeks of vacation.
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    • Experience in medical imaging analysis or signal processing with AI.
    • Prior experience with FDA clearance of SaMD, medical hardware/devices, or AI/ML algorithms.
    • Proven experience leading multiple teams and/or managers in complex, regulated environments or medical devices.
    • Undergraduate degree or equivalent experience.
    • C/C++ or Python for tooling/algorithms; Matlab for model-to-RTL correlation; familiarity with IEC 62304 documentation expectations.
    • A genuine interest in optics, imaging, 3D display, or emerging visualization technologies.
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    • YULCOM Technologies est une société de conseil multinationale basée à Montréal qui se spécialise dans les solutions en technologies…
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Job Post Details

Data Scientist/Machine Learning Scientist in Medical Imaging - job post

Oncoustics
Toronto, ON
Full-time
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Job details

Job type

  • Full-time

Location

Toronto, ON

Full job description

TORONTO: RESEARCH AND DEVELOPMENT - FULL TIME
Job Description
Oncoustics is revolutionizing the use of point of care ultrasound in liver care through advanced AI. We are supported by high-profile institutional investors and have deep partnerships in place with several major ultrasound and pharmaceutical players. We are looking to hire an experienced ML Engineer/Data Scientist to join our team with relevant academic experience and industry experience. A successful candidate will be able to lead projects, as well as coordinating with signal processing, clinical data and product teams. The candidate should be able to build on previous work, and have a collaborative team spirit. Specifics of the opportunity include:
Responsibility
  • Carry out data science/statistical analysis of our large data libraries for feature engineering and accounting for unique trends
  • Carry out bio-statistical planning for clinical trials and clinical research - for IRBs and FDA regulatory submissions
  • Work on development and deployment of deep learning and machine learning models in scikit-learn, tensorflow and pytorch
  • Design models/learning strategies to optimize mining of unique ultrasound signal data with deep learning
  • Work directly with teams of data scientists, signal processing engineers, clinicians and clinical providers, and product deployment
  • Influence feature engineering and signal processing, and coordinate for optimal mining of data
  • Remain aware of new innovations in the use of AI/ML in medical imaging and ultrasound
  • Adopt state of the art algorithms
  • Participate in FDA planning and clearance of algorithms
Requirements
  • Graduate degree in a related field, and relevant undergraduate
  • 2+ years at least of industry experience in data science and AI/ML for health care
  • Expertise in Python for Machine Learning packages: Pandas, Sklearn, Keras, Tensorflow, Pytorch
  • Experience in biostatistics, statical performance metrics and testing methods in health care clinical trials and clinical research
Good To Have
  • PhD/graduate work in biostatistics, data science and machine learning/machine vision
  • Expertise in medical imaging analysis or signal processing
  • Experience in the use of ultrasound
  • Prior experience with FDA clearance of AI/ML algorithms
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