Responsibilities: Design, develop, and maintain anomaly detection and pattern recognition systems capable of identifying unusual behaviors, emerging trends, structural changes, and complex relationships across large-scale healthcare and operational datasets. Develop statistical and machine learning models using techniques such as clustering, classification, time-series analysis, change-point detection, outlier detection, graph-based analytics, ensemble methods, and representation-learning approaches.