You will join Aidoc Medical's Clinical & Reimbursement team to support the ROI modeling efforts that demonstrate the clinical and financial value of our AI solutions to healthcare systems. Your primary responsibility will be to manage, improve, and customize our ROI tool - a comprehensive health economics and clinical outcomes calculator - to provide data-driven insights tailored to each site. You will work closely with internal stakeholders (sales, product, clinical, and marketing teams) to adapt the model to unique site-specific needs, financial structures, and clinical assumptions. About Aidoc Aidoc helps health systems deliver smarter and faster care when it matters most. Its mission is to transform patient outcomes through 'always on' clinical AI, eliminating preventable care gaps that lead to loss of lives and disabilities. Through our proprietary aiOS platform, Aidoc seamlessly integrates real-time intelligence into provider workflows, helping physicians make faster clinical decisions for over 45 million patients a year. With the most FDA-cleared AI solutions in its category and deployments across 150+ health systems globally, Aidoc elevates the physician and patient experience.Backed by General Catalyst, Square Peg, NVentures (NVIDIA's venture arm), and four major U.S. health systems, Aidoc has raised $370 million to date, including a recent $150 million round to accelerate development of CARE, its clinical-grade foundation model. About this role You will join Aidoc Medical's Clinical & Reimbursement team to support the ROI modeling efforts that demonstrate the clinical and financial value of our AI solutions to healthcare systems. Your primary responsibility will be to manage, improve, and customize our ROI tool - a comprehensive health economics and clinical outcomes calculator - to provide data-driven insights tailored to each site. You will work closely with internal stakeholders (sales, product, clinical, and marketing teams) to adapt the model to unique site-specific needs, financial structures, and clinical assumptions.