Senior Generative AI Scientist

Cotiviti

Generative AI scientist developing healthcare machine learning solutions at Cotiviti. Building, deploying, and monitoring LLM and data science models for payment integrity and improved outcomes.

Posted 8/21/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $130,000 - $156,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning and AI, with a strong focus on natural language processing, model deployment, and data analysis. Proficient in developing end-to-end solutions that enhance healthcare outcomes and reduce costs through advanced statistical methods and collaboration with cross-functional teams.

Highest-signal resume keywords

Machine Learning DeploymentNatural Language ProcessingData AnalysisModel CreationCollaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAdvanced StatisticsData ScienceExploratory Data AnalysisModel ValidationProduction-Grade DeploymentsNatural Language Processing TechniquesData PipelinesStatistical SoftwareLarge-Scale Distributed Datasets

Soft Skills

CollaborationIndependent WorkTask PrioritizationConfidential Information HandlingFlexibility

Tools & Technologies

HuggingFaceLangchainLLAMAOpenAITensorFlowPyTorchPandasScikit-learnApache SparkAWS

Industry Keywords

Healthcare OutcomesPayment IntegrityAI Use CasesQuantitative DisciplineMatrixed Organization

Tech Stack

Tools & technologies

ApacheAWSAzureGoogle Cloud PlatformKerasPandasPyTorchScikit-LearnSparkTensorflow

About the role

Key responsibilities & impact

Deliver solutions helping clients identify payment integrity issues, reduce healthcare process costs, or improve healthcare outcomes
Work with Research and Development, Operations, and product management stakeholders to assess the value and risks of machine learning and AI use cases
Develop exploratory data analysis approaches to verify hypotheses for AI/ML use cases
Document approaches, thinking, and results using standard methods for collaboration
Prepare final trained models and validation test sets for QA
Work with production operations to deploy models and support performance monitoring
Collaborate with other data science teams and support peer projects
Participate in knowledge-sharing sessions
Participate in design sessions to develop and improve Cotiviti’s machine learning platform
Provide end-to-end value-based solutions, including data pipelines, model creation, and end-user applications
Complete annual performance review/goal-setting responsibilities
Complete special projects and other assigned duties

Requirements

What you’ll need

Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics, or Operations Research, covering Advanced Statistics, Machine learning and AI
Experience with natural language processing techniques including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs
Experience with HuggingFace, Langchain, LLAMA/Mistral, OpenAI, and vector databases
3+ years of hands-on data science/AI experience
Experience with pandas, scikit-learn, keras, nltk, TensorFlow/PyTorch, and GPU
Experience building production-grade machine learning deployments on AWS, Azure, or GCP
Experience working with Apache Spark and large-scale distributed datasets
Ability to work independently and collaborate as a team
Ability to properly handle confidential information
Ability to handle multiple tasks, prioritize, and meet deadlines
Ability to work within a matrixed organization
Proficiency in required skills and competencies
Flexibility to work with global teams and geographically dispersed US-based teams
High-speed internet access/connectivity and office setup and maintenance
Dedicated, secure work area
Ability to perform duties with or without reasonable accommodation

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Disability insurance
Life insurance coverage
401(k) savings plan
Paid family leave
9 paid holidays per year
17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service
Remote work
Virtual interviews
High-speed internet access/connectivity and office setup and maintenance provided by the team member