Applied AI Scientist IV

🔥 3 minutes ago

🇺🇸 United States – Remote

💵 $113k - $197.7k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🧠 AI Research Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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CareSource

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 30+ years

🏥 Healthcare

🛡️ Insurance

⚕️ Healthcare Insurance

Healthcare • Insurance • Healthcare Insurance

CareSource is a health services company focused on providing affordable health insurance and healthcare solutions. It offers a wide range of plans including Medicaid, Marketplace, and Medicare Advantage, targeting low-income adults, families, children, pregnant women, elderly adults, and people with disabilities. Additionally, CareSource provides members with resources for COVID-19 support, dental, vision, and hearing benefits, as well as pharmacy services. The company emphasizes easy access to healthcare management through online platforms and a mobile app.

📋 Description

• 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

• 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

• 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