Data Scientist

mlHealth 360; Surrey; On-site; CAD 90,000 - 130,000; Full time

Job summary

mlHealth 360 is seeking a Data Scientist to advance AI/ML models for medical imaging analysis. The role encompasses designing, developing, and integrating models to improve healthcare diagnostics, directly impacting patient outcomes. Candidates should have a strong background in machine learning, particularly within medical contexts, and hold an advanced degree in a relevant field.

Qualifications

• 5+ years in machine learning or deep learning development.
• 3+ years in medical image analysis.
• Proficient in Python and deep learning frameworks.

Responsibilities

• Lead AI model development for medical imaging.
• Collaborate with healthcare institutions for data.
• Evaluate and customize neural network architectures.

Skills

Machine Learning

Deep Learning

Python

Problem Solving

Communication

Cloud Computing

Education

Master’s or Ph.D. in Computer Science

Biomedical Engineering

Data Science

Medical Physics

Tools

PyTorch

TensorFlow

Keras

AWS

Google Cloud

Azure

Docker

Kubernetes

Git

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

Health and Human Services and IT System Data Services

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