Data Scientist/Machine Learning Scientist in Medical Imaging

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Experience: 2+ years at least of industry experience in data science and AI/ML for health care
Posting language: English
Posted: Jul 10, 2026

Original 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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More about this job

Responsibilities

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.

Requirements

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.

Skills

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

Visa sponsorship

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Keywords

Data Scientist
Machine Learning
Medical Imaging
AI
Ultrasound
Biostatistics
Clinical Trials
FDA
Deep Learning
Feature Engineering
Signal Processing
Python
Pandas
Scikit-learn
TensorFlow
PyTorch
Healthcare

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