Surgical Data Science Collective (SDSC)

• 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.

• 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

• Define and own the product roadmap for SDSC’s surgical video analytics and data science tools across multiple domains (computer vision models, SVP features, admin console). • Translate user needs and research objectives into technical requirements and prioritized product milestones. • Collaborate with cross-functional teams to ensure timely and high-quality product delivery. • Manage product lifecycle from ideation and prototype to validation and deployment. • Gather and synthesize feedback from our users to continuously refine products. • Establish metrics to measure product success and adoption across partner institutions.

• Work across the backend and frontend to develop a video sharing web application • Work with tech leads and leadership on defining project deliverables and development estimates • Own features end-to-end from technical design, implementation, deployment and maintenance • Propose and implement engineering best practices