Surgical Data Science Collective (SDSC)

Account Manager

• Strategic Expansion: Proactively identify and engage new institutional partners. You will move beyond managing current accounts to strategically identifying and initiating conversations with senior-level decision-makers.
• Institutional Lifecycle Leadership: Lead the full lifecycle of a partnership—from articulating our value proposition to navigating the legal and technical hurdles of research collaboration frameworks.
• Team Leadership & Mentorship: Manage and mentor a team of five professionals. You will be responsible for fostering a culture of proactive growth, coaching the team to identify new opportunities for network expansion.
• Peer-Level Representation: You must be capable of collaborating with leading healthcare organizations, leveraging deep technical literacy to establish immediate credibility with clinical stakeholders.
• Cross-Functional Bridge: Collaborate with Legal (on DUAs), Medical Affairs, and Product (on our AI and robotics initiatives) to ensure partnerships result in active data ingestion and tool adoption.

Director of Partnerships

Data Scientist

• Design and run clinical validation studies — correlating AI-derived metrics with surgical outcomes (e.g., complications, resection extent, procedure duration)
• Develop and refine composite scoring algorithms (PCA-weighted, Bayesian, or other approaches) that summarize multi-dimensional surgical performance into interpretable scores
• Apply appropriate statistical methods (logistic regression, mixed effects, survival analysis, dimensionality reduction) to clinical datasets with clustered, sparse, and heterogeneous data
• Build and maintain Python pipelines that extract, transform, and analyze data from MongoDB, PostgreSQL, and S3 at scale (hundreds to thousands of procedures)
• Design and implement data validation checks, investigate discrepancies across data sources, and ensure reproducibility of analyses
• Work directly with surgeons and clinical researchers to define metrics, interpret results, and refine tools based on clinical feedback
• Produce analysis reports, methodology documentation, and presentations for internal teams, clinical partners, and external stakeholders