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Job Post Details

Data Scientist/Machine Learning Scientist in Medical Imaging
Oncoustics
Toronto, ON
Full-time
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Job details

Pay information not provided
Full-time
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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