Teams at Intermountain Healthcare

Performs complex net patient revenue accounting and analysis, including accounts receivable reserve calculations, monthly close schedules, payer performance reporting, forecasting, financial modeling, and balance sheet reconciliations. Acts as a subject matter expert, manages multiple projects and deadlines, and communicates risks to management. The role requires accounting expertise, healthcare revenue knowledge, analytical skills, and proficiency with financial systems and revenue cycle tools.

Provides accounting expertise and oversight for complex, system-wide processes, particularly investment accounting. Applies U.S. GAAP, supports month-end close and year-end disclosures, improves accounting systems and procedures, and collaborates with developers, vendors, and internal stakeholders. May lead projects, train or review colleagues, and support accounts receivable, controls, and financial processes.

Designs, develops, tests, and optimizes AI and machine learning systems across business problems. Applies machine learning, deep learning, transformer architectures, statistical reasoning, and NLP to build models and pipelines. Uses cloud platforms and distributed computing, collaborates with MLOps engineers on deployment, and follows software engineering practices. Responsibilities span the data science lifecycle, including data preparation, feature extraction, model development, deployment, maintenance, and communication with nontechnical stakeholders.