Applied AI Scientist IV

CareSource

. Establish technical direction and lead design, development, and operationalization of advanced AI solutions for healthcare operations, patient outcomes, and organizational performance .

Posted 9/29/2026full-timeRemote • United StatesSeniorLead💰 $113,000 - $197,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI solution design, predictive analytics, and NLP within the healthcare sector, ensuring compliance with HIPAA and PHI regulations while leading technical teams and projects. Proficient in developing and deploying advanced AI models and frameworks to enhance patient outcomes and operational performance.

Highest-signal resume keywords

AI Solution DesignPredictive AnalyticsNLP and Generative AICloud Services (Azure, AWS, GCP)MLOps and LLMOps

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive AnalyticsMachine LearningStatistical LearningData ManipulationData VisualizationFeature EngineeringExploratory Data AnalysisPythonRSQL

Soft Skills

Analytical SkillsProblem-Solving SkillsCritical-Thinking SkillsTechnical LeadershipCommunication Skills

Tools & Technologies

DatabricksSnowflakeCI/CDAPI IntegrationDocument Intelligence

Industry Keywords

Healthcare OperationsAI GovernanceResponsible AIHealthcare DataEMRHIEPayer and Provider Models

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Establish technical direction and lead design, development, and operationalization of advanced AI solutions for healthcare operations, patient outcomes, and organizational performance
Lead evaluation of emerging AI technologies and define enterprise adoption strategies
Process and analyze unstructured healthcare data using NLP and deep learning techniques
Provide technical leadership for AI solutions from ideation through enterprise-scale production deployment
Influence enterprise AI roadmaps and strategy through technical expertise and strategic partnerships
Establish technical standards, reusable frameworks, best practices, and governance for AI development, deployment, monitoring, and optimization
Direct complex NLP, predictive analytics, and applied AI initiatives across multiple business domains
Collaborate with IT, risk adjustment, program integrity, HEDIS, healthcare operations, finance, and clinical teams
Develop and implement predictive models, algorithms, and statistical techniques using large healthcare datasets
Define and execute evaluation strategies for ML and LLM solutions, including quality metrics, bias and safety checks, and post-deployment monitoring
Conduct data cleansing, feature engineering, exploratory data analysis, and rigorous data analysis
Define KPIs, metrics, dashboards, and reports with stakeholders to support decision-making
Provide strategic guidance to senior leadership based on predictive modeling and data analysis
Ensure HIPAA and PHI compliance, data integrity, model governance, and documentation
Serve as a subject matter expert in AI, machine learning, NLP, Generative AI, and emerging technologies
Mentor Applied AI Scientists, Data Scientists, and technical teams through code reviews, technical guidance, and architecture recommendations
Evaluate Responsible AI practices, healthcare AI regulations, and governance requirements
Perform other job-related duties as requested

Requirements

What you’ll need

Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or related field required
Equivalent years of relevant work experience may be accepted in lieu of required education
Master's degree preferred
Eight (8) years of experience in predictive analytics, data science, or related field required
Three (3) years of experience in the healthcare industry required
Three (3) years of experience with cloud services such as Azure, AWS, or GCP and modern data stack such as Databricks or Snowflake required
Three (3) years of experience developing and deploying an NLP and Generative AI solution in the healthcare industry required
Experience providing technical leadership, architecture guidance, and mentoring scientific teams required
Expert knowledge of Agentic AI, LLM architectures, prompt engineering, Retrieval-Augmented Generation (RAG), evaluation methodologies, and AI solution design
Advanced expertise in MLOps and LLMOps, including model deployment, monitoring, experiment tracking, reproducibility, CI/CD, and governance
Advanced knowledge of model risk management, AI governance, Responsible AI, and healthcare AI regulatory considerations
Expert knowledge of statistical learning, machine learning, predictive analytics, and scientific computing using Python and/or R
Expert in data manipulation, data visualization, and SQL
Ability to perform advanced statistical analysis and modeling, including linear and non-linear regression, sampling, and Markov chains
Expertise designing document intelligence, OCR, and information extraction solutions using modern AI technologies
Expertise in AI solution architecture, API integration, and deployment of production-grade AI applications
Detailed knowledge of healthcare data, including medical and pharmacy claims, EMR, HIE, UM, demographic, and population data
Knowledge of healthcare operations, payer and provider models, and industry trends
Proficient in feature engineering and exploratory data analysis
Excellent analytical, problem-solving, and critical-thinking skills
Strong technical leadership, influence, and program coordination skills
Excellent written and verbal communication and presentation skills
Licensure and Certification: None
General office environment; may sit or stand for extended periods
Occasional travel up to 15% may be required

Benefits

Comp & perks

Bonus tied to company and individual performance may be available
Comprehensive total rewards package
Equal Opportunity Employer environment focused on belonging and support
Up to 15% travel to meetings, trainings, and conferences