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Responsibilities:
- Study design and execution: Design and run clinical validation studies — correlating AI-derived metrics with surgical outcomes.
- Scoring methodology: Develop and refine composite scoring algorithms that summarize surgical performance.
- Data pipeline development: Build and maintain Python pipelines that extract, transform, and analyze data at scale.
Qualifications:
- Master's degree in a quantitative field and 2+ years of experience in applied data science.
- Strong Python skills and solid understanding of statistical methods.
- Experience with SQL and NoSQL databases and ability to work independently.
Company Mission:
- Develop AI-powered tools to analyze surgical video and improve surgical techniques.
- Provide surgeons with data-rich tools to improve technique, sharpen decision-making, and elevate patient care.
Surgical Data Science Center
The Surgical Data Science Center develops AI-powered tools that analyze surgical video to improve surgical techniques. It is a nonprofit organization bringing together surgeons, scientists, and engineers to turn surgical videos into searchable, data-rich tools.