Data Scientist​/Machine Learning Scientist in Medical Imaging

Data Scientist/Machine Learning Scientist in Medical Imaging

TORONTO: RESEARCH AND DEVELOPMENT - FULL TIME

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 and industry experience. A successful candidate will lead projects and coordinate with signal processing, clinical data, and product teams.

The candidate should build on previous work and exhibit a collaborative team spirit. Specifics of the opportunity include:

• Carry out data science/statistical analysis of our large data libraries for feature engineering and accounting for unique trends
• Carry out biostatistical planning for clinical trials and research – for IRBs and FDA regulatory submissions
• Work on development and deployment of deep learning and machine learning models in scikit-learn, Tensor Flow, and Py Torch
• 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 product deployment staff
• Influence feature engineering and signal processing, coordinating for optimal data mining
• Remain aware of new innovations in AI/ML for medical imaging and ultrasound
• Adopt state‑of‑the‑art algorithms
• Participate in FDA planning and clearance of algorithms

• Graduate degree in a related field and relevant undergraduate degree
• 2+ years of industry experience in data science and AI/ML for health care
• Expertise in Python for machine‑learning packages:
  Pandas, Scikit‑learn, Keras, Tensor Flow, Py Torch
• Experience with biostatistics, statistical performance metrics, and testing methods in clinical trials and research

• PhD or graduate work in biostatistics, data science, and machine learning/vision
• Expertise in medical imaging analysis or signal processing
• Experience in the use of ultrasound
• Prior experience with FDA clearance of AI/ML algorithms