
11 - 50 employees
⚕️ Healthcare Insurance
🤖 Artificial Intelligence
🤝 B2B
Healthcare Insurance • Artificial Intelligence • B2B
The Public Interest Company is a healthcare recovery firm that leverages predictive data science and AI/ML to identify claims that should have been paid by third-party insurers and to recover those funds for payers. It works with health plans, risk-bearing provider groups, self-funded employers, and public sector organizations using an all-upside, contingency model that minimizes risk for clients. The team combines PhD-level data scientists, experienced founders, and litigators to provide technology-driven identification plus relentless legal and recovery strategies, with a focus on returning money to the healthcare system without member abrasion or implementation lag.
🕒 February 13
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11 - 50 employees
⚕️ Healthcare Insurance
🤖 Artificial Intelligence
🤝 B2B
Healthcare Insurance • Artificial Intelligence • B2B
The Public Interest Company is a healthcare recovery firm that leverages predictive data science and AI/ML to identify claims that should have been paid by third-party insurers and to recover those funds for payers. It works with health plans, risk-bearing provider groups, self-funded employers, and public sector organizations using an all-upside, contingency model that minimizes risk for clients. The team combines PhD-level data scientists, experienced founders, and litigators to provide technology-driven identification plus relentless legal and recovery strategies, with a focus on returning money to the healthcare system without member abrasion or implementation lag.
• Productize AI/ML capabilities: Develop and deploy models that directly contribute to identifying and recovering healthcare claims, with measurable business impact. • Model development and innovation: Build, improve, and oversee implementation of a diverse suite of models, including classification, pattern mining, and rules-based approaches, to optimize workflows. • Lead data flywheel strategy: Architect and scale systems that leverage feedback loops from claims, recovery outcomes, and enrichment data to continuously improve accuracy and efficiency. • Translate research into products: Bridge the gap between technical R&D and commercial application, ensuring all AI/ML outputs can be operationalized and monetized. • Team leadership and growth: Recruit, mentor, and manage a high-performing AI/ML team focused on scalable development, rapid iteration, and measurable outcomes. • Collaborate cross-functionally: Partner with engineering, legal, and operations to integrate models into production environments and align with company goals. • Stay ahead of the curve: Monitor AI, ML, and healthcare data trends to inform roadmap priorities and maintain competitive differentiation.
• 5+ years of experience in AI/ML leadership roles • Deep expertise in multiple AI/ML paradigms, including classification, rule-based systems, association/pattern mining, NLP, and predictive modeling • Proven record of developing and commercializing machine learning models into actionable, scalable, and commercializable products • Proficiency with large-scale data environments (1M+ rows) and modern ML/AI toolsets (e.g., Python, Databricks) • Experience leading high-performing technical teams and building from the ground up • Exceptional communication skills and the ability to translate complex technical ideas into business terms across teams.
• Flexible work arrangements • Professional development
Apply Now🕒 February 10
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