Clinical Data Scientist
MedVision AI- Sayad, Afghanistan
- Hybrid
- Negotiable
- Posted: 2 months ago
- Vacancy: 1
About the Company:
MedVision AI is a Canadian HealthTech innovator specializing in predictive diagnostics, AI-powered imaging interpretation, and virtual clinical decision-support tools. The company’s mission is to empower healthcare systems with intelligent diagnostic capabilities that enhance accuracy, speed, and patient outcomes.
Location: Ottawa, Ontario, Canada
Employment Type: Full-time
Experience Level: Mid-level (3–5 years)
Role Overview:
As a Clinical Data Analyst, you will work with medical imaging datasets, clinical histories, and AI model outputs to ensure diagnostic precision and system reliability. Your role supports the research, validation, and continuous improvement of MedVision AI’s flagship clinical decision-support tools.
Key Responsibilities:
• Analyze medical datasets including imaging, lab results, and structured hospital data.
• Validate AI-generated diagnostic predictions and flag edge-case failures.
• Develop data-cleaning workflows and annotation guidelines.
• Work closely with clinicians to interpret findings and refine AI decision pathways.
• Prepare data reports and dashboards for internal and regulatory use.
• Ensure compliance with HIPAA, PHIPA, and clinical data privacy standards.
• Contribute to research papers, validation studies, and product improvements.
Qualifications:
• Bachelor’s or Master’s in Health Informatics, Data Science, Biomedical Engineering, or related field.
• Experience working with medical datasets (DICOM, EHR, PACS).
• Knowledge of Python, SQL, and data visualization tools.
• Strong understanding of clinical workflows or diagnostic processes.
• Familiarity with AI/ML concepts related to healthcare.
• Excellent analytical, documentation, and communication skills.
What We Offer:
• Work with industry-leading AI diagnostic technologies.
• Collaboration with clinicians, data scientists, and medical researchers.
• Opportunities for publication and participation in global health conferences.
• Professional training on medical imaging analytics and clinical data standards.
• Growth opportunities within Canada’s fast-expanding HealthTech ecosystem.