Data Scientist/Machine Learning Scientist in Medical Imaging

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 Submit Your Application Resume Uploading... fileuploaded.jpg Upload failed. Max size for files is 10 MB. Are you eligible to work in Canada? YesNo Thank you! Your submission has been received! Oops! Something went wrong while submitting the form.

The candidate will carry out data science and statistical analysis on large data libraries and bio-statistical planning for clinical trials. They will also develop and deploy machine learning models and coordinate with various teams.

A graduate degree in a related field and at least 2 years of industry experience in data science and AI/ML for healthcare are required. Expertise in Python and experience in biostatistics and clinical trials are also necessary.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Machine Learning
• Data Science
• Python
• Biostatistics
• Statistical Analysis
• Deep Learning
• Feature Engineering
• Clinical Trials
• FDA Regulations
• Signal Processing
• TensorFlow
• PyTorch
• Scikit-learn
• Medical Imaging
• Clinical Research
• Collaboration

• Healthcare
• Data & Analytics
• Science & Research
• Technology
• Engineering

Formation minimale

Maîtrise

Expérience minimale

2+ ans

Postuler avant le

9 août 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Entry level