Data Scientist
Job Locations
US-Remote
ID
2025-16759
Category
Engineering/IT
Position Type
Full-Time
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. The position includes working on MLOps
and MCP initiatives and will be a key contributor to the Edifecs Business Unit AI innovation project, driving cutting-
edge AI solutions across the healthcare technology portfolio.
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
Design and implement Model Context Protocol (MCP) for LLM governance, including model registry, deployment orchestration, and performance tracking systems
Implement comprehensive MLOps frameworks including CI/CD pipelines for model deployment, A/B testing infrastructure, and production model monitoring
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
Implement model evaluation metrics and performance optimization strategies for healthcare coding accuracy
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.
Complete all special projects and other duties as assigned.
Must be able to perform duties with or without reasonable accommodation.
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
Proficiency in Model Context Protocol design and implementation for enterprise LLM governance
Experience with MLOps tools and frameworks (MLflow, Kubeflow, Weights and Biases) and LLM deploym
ent platforms
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
*... For full info follow application link.
EqualOpportunity Employer/Protected Veterans/Individuals with Disabilities
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