Applied AI Scientist IV

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $113 000 - $197 700 / an

⏰ Temps Plein

🟠 Senior

🔴 Expert

🧠 Chercheur en IA

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 8%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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CareSource

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 30+ years

🏥 Santé

🛡️ Assurance

⚕️ Assurance santé

Healthcare • Insurance • Healthcare Insurance

CareSource est une entreprise de services de santé axée sur la fourniture d'assurances santé abordables et de solutions de soins de santé. Elle propose une large gamme de plans incluant Medicaid, le Marketplace et Medicare Advantage, visant les adultes à faible revenu, les familles, les enfants, les femmes enceintes, les personnes âgées et les personnes handicapées. De plus, CareSource fournit à ses membres des ressources pour le soutien COVID-19, des avantages dentaires, visuels et auditifs, ainsi que des services de pharmacie. L'entreprise met l'accent sur l'accès facile à la gestion des soins de santé via des plateformes en ligne et une application mobile.

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

🎯 Exigences

• 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

🏖️ Avantages

• 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

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