Job Description

Overview:

Cotiviti is seeking a Data Scientist to lead the development of advanced classification and predictive systems for healthcare risk adjustment and ICD-10 code classification. This role will focus on building intelligent NLP systems that analyze clinical charts and encounters to accurately identify and classify ICD-10 codes through sophisticated pattern recognition, machine learning, and natural language processing techniques.
Responsibilities:
Lead development of NLP-based classification systems for ICD-10 code identification from clinical charts and encounters Design and implement deep learning models using PyTorch and transformer architectures for medical text analysis Build and optimize machine learning models for accurate risk adjustment coding and HCC classification Develop decision support systems for automated ICD-10 code suggestion and validation Create and maintain feature engineering pipelines for clinical text processing and model training
o Implement model evaluation metrics and performance optimization strategies for healthcare coding accuracy o Produce comprehensive technical documentation and training materials for NLP models
Conduct system health checks and performance monitoring for deployed coding models Collaborate with engineering teams to integrate ML/NLP solutions into production systems Provide technical guidance on statistical modeling, transformer architectures, and algorithm selection Support data pipeline design and implementation for clinical text analytical workflows Participate in code reviews and maintain high standards for code quality Experience with distributed computing frameworks and big data technologies for processing large volumes of clinical data Mentor junior scientists and analysts in machine learning, NLP, and artificial intelligence best practices Track record of using assistive AI technology to improve quality and efficiency of modeling and analytics Complete all responsibilities as outlined in the annual performance review and/or goal setting.

Required

Complete all special projects and other duties as assigned.

Required

Must be able to perform duties with or without reasonable accommodation.

Required

Qualifications:
Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or related field; Master's in Data Science or related field preferred 3+ years of experience in machine learning and AI with focus on NLP, classification, and predictive systems Strong expertise in PyTorch and transformer architectures (BERT, RoBERTa, etc.) for text classification Advanced Python programming skills with experience in NLP frameworks and libraries Experience with healthcare claims data, clinical text processing, and ICD-10 coding systems preferred Knowledge of risk adjustment methodologies and HCC (Hierarchical Condition Categories) coding Experience with feature engineering techniques for clinical text and model evaluation methodologies Experience with model deployment and monitoring in production environments Understanding of data quality frameworks and error detection methodologies for healthcare coding Strong analytical and problem-solving skills with focus on clinical data challenges Excellent communication skills with ability to explain technical NLP concepts clearly Experience with version control systems and collaborative development practices * Expertise with SQL and data manipulation tools for healthcare datasets.