Responsibilities

• Assist in designing, developing, and evaluating machine learning and deep learning models for cardiac CT image analysis.
• Work with frameworks such as PyTorch to implement and optimize AI algorithms.
• Support data preprocessing, annotation, and preparation for model training.
• Contribute to integration of AI models into MedClarity’s software systems.
• Document workflows, experiments, and findings clearly.
• Collaborate with cross-functional teams, including clinicians, software engineers, and regulatory specialists.

Experience & Skills

• Bachelor’s degree in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field.
• Programming experience with Python (C++ is a plus). Hands-on experience with PyTorch.
• Familiarity with machine learning or deep learning concepts (coursework or project experience).
• Good problem-solving abilities and willingness to learn.
• Strong communication skills and ability to work in a team.
• Familiarity with human anatomy, image processing techniques, and medical imaging modalities (a plus).
• Exposure to federated learning, explainable AI, or regulatory frameworks (e.g., FDA, CE) is advantageous.
• Knowledge of cloud platforms and containerization technologies is a bonus.