Data Scientist

ZipRecruiter; Halifax; On-site; CAD 90,000 - 130,000; Full time

Job summary

A leading healthcare technology company seeks a Data Scientist to spearhead the development of advanced AI/ML models for medical imaging analysis. This role focuses on improving diagnostic accuracy and efficiency through innovative research and collaboration with healthcare institutions. Ideal candidates will possess extensive experience in machine learning and medical imaging, contributing to transformative healthcare solutions.

Qualifications

• 5+ years of experience developing machine learning models.
• 3+ years in medical image analysis (CT, MRI).
• Expertise in Python and deep learning frameworks.

Responsibilities

• Architect and lead AI model development for medical imaging.
• Collaborate with healthcare institutions for data acquisition.
• Implement and refine machine learning algorithms for CT analysis.

Skills

Python

Problem-solving

Leadership

Communication

Image processing

Segmentation techniques

Deep learning frameworks

Cloud computing

Version control

Containerization

Education

Master’s or Ph.D. in Computer Science

Biomedical Engineering

Data Science

Medical Physics

Job description

Job Description

Role Description

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.