Cotiviti
4 open remote positions
Salary Distribution (4 of 4 jobs with salary data)
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β¨ Benefits Overview (4 of 4 jobs list additional benefits)
Support the Legal, Compliance, and Strategic Vendor Solutions Department on a variety of matters including litigation, document management and production, intellectual property, department data management, matter and legal hold management, and legal systems administration. Responsibilities include creating and managing matters in matter management tool, utilizing legal hold management tool to issue legal hold notifications, coordinating and assisting attorneys with review and production of information.
Implement sourcing strategies for low-risk projects to reduce costs, identify, evaluate, and manage relationships with vendors to ensure quality and cost-effectiveness, and track departmental cost-saving opportunities. Work closely with internal teams to understand their needs and ensure sourcing strategies align with business objectives. Utilize P2P system and other sourcing software to streamline processes and enhance efficiency.
This is a post-sales position focused on individual clients and implementing Cotiviti solutions purchased by that client. The consultant will install, configure, and oversee the implementation of Cotiviti products at client sites, including configuration and development of programs, tasks and guidelines, to fully implement a Cotiviti solution based upon a clientβs specific needs. The Implementation Consultant will be the primary Client Services technical resource and will interface with the clientβs technical resources.
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. Implement comprehensive MLOps frameworks including CI/CD pipelines for model deployment. Build and optimize machine learning models for accurate risk adjustment coding and HCC classification. Collaborate with engineering teams to integrate ML/NLP solutions into production systems.