Data Scientist

mlHealth 360; Surrey; On-site; CAD 100,000 - 150,000; Full time

Job summary

A leading company in healthcare technology is seeking a Data Scientist to design and develop advanced AI/ML models for medical imaging analysis. This role focuses on enhancing diagnostic accuracy and patient outcomes through innovative research and development. The ideal candidate will have extensive experience in machine learning, particularly in medical imaging, and will collaborate closely with healthcare institutions. Join us to make a significant impact in the healthcare sector.

Qualifications

• 5+ years experience in machine learning or deep learning models.
• 3+ years in medical image analysis, CT, MRI, or radiological workflows.

Responsibilities

• Architect and lead development of AI models for medical imaging.
• Collaborate with healthcare institutions for data acquisition.
• Evaluate and customize neural network architectures.

Skills

Python

Problem Solving

Leadership

Communication

Education

Master’s or Ph.D. in Computer Science

Biomedical Engineering

Data Science

Medical Physics

Tools

PyTorch

TensorFlow

Keras

AWS

Google Cloud

Azure

Git

Docker

Kubernetes

Job description

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As a Data Scientist at mlHealth 360, you will lead our efforts in designing and developing advanced AI/ML models for medical imaging analysis. This role involves extensive R&D activities aimed at enhancing radiological diagnostics. Your work will directly contribute to enhancing medical imaging diagnostic accuracy, efficiency, and patient outcomes across a broad spectrum of healthcare challenges.

Key Responsibilities

• Architect and lead the development of AI models across diverse medical imaging domains.
• Collaborate with healthcare institutions for data acquisition and annotation.
• Evaluate and customize neural network architectures for medical image segmentation.
• Implement and refine machine learning algorithms for CT image analysis.
• Drive the iterative training and validation of models.
• Oversee the integration of models into clinical workflows and UI ecosystems.
• Lead the documentation and dissemination of research findings.

Required Skills and Qualifications:

• 5+ years of experience developing and deploying machine learning or deep learning models in enterprises.
• 3+ years of hands-on experience specifically in medical image analysis, preferably involving CT, MRI, or radiological workflows.
• Expertise in Python for data analysis and processing, image processing, segmentation techniques in medical imaging context.
• Proficiency in deep learning frameworks such as PyTorch, TensorFlow, or Keras.
• Excellent problem-solving, leadership, and communication skills.
• Knowledge of cloud computing platforms (AWS, Google Cloud, or Azure) for model training and deployment.
• Familiarity with version control systems (e.g., Git) and containerization technologies (Docker, Kubernetes) for code management and deployment.

Education:

• Master’s or Ph.D. in Computer Science, Biomedical Engineering, Data Science, Medical Physics, or a related field.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering, Information Technology, and Other

• Industries

  Health and Human Services and IT System Data Services

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