Senior AI & Data Scientist

🕒 Abril 13

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Alignment Health

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2013

⚕️ Seguro de Saúde

👥 B2C

💰 $321.050.000 Post-IPO Debt - Alignment Health em 2024-11

Healthcare Insurance • B2C

A Alignment Health é uma empresa de seguros de saúde focada no Medicare, que oferece planos Medicare Advantage e serviços centrados nos membros. Ela oferece acesso a cuidados 24 horas por dia, 7 dias por semana, por meio de canais presenciais, domiciliares e móveis, e dispõe de um cartão sob demanda no estilo concierge para ajudar os membros a agendar consultas, organizar transporte e responder a perguntas de saúde. A Alignment Health faz parcerias com corretores, prestadores de serviços, Organizações de Cuidados Responsáveis (ACOs) e parceiros institucionais, opera em vários estados dos EUA (incluindo Arizona, Califórnia, Nevada, Carolina do Norte e Texas), e recebeu altas classificações do CMS e reconhecimento no setor.

Descrição

• Architect end-to-end AI/ML solutions for complex healthcare challenges (35%): Design and deliver production-grade machine learning systems for high-stakes applications including risk stratification, clinical decision support, autonomous chart review, and fraud detection. • Own the full ML lifecycle from experimentation to production (25%): Build reliable, scalable AI services including experimentation, validation, deployment, monitoring, drift detection, and continuous improvement. • Drive technical excellence and innovation (15%): Research and apply state-of-the-art methods in deep learning, NLP/LLMs, computer vision, and causal inference to healthcare problems. • Partner strategically with cross-functional leaders (15%): Collaborate with Product, Clinical, Operations, and Compliance teams to identify high-value AI opportunities aligned with business strategy. • Provide technical mentorship and raise the bar (10%): Guide data scientists through code reviews, architectural discussions, and pair programming.

🎯 Requisitos

• 5-8 years delivering production-grade data science or ML solutions with demonstrated business impact • Proven track record architecting complex ML systems from research to production deployment • Deep expertise in multiple ML domains and strong software engineering fundamentals • Experience leading technical projects and mentoring data scientists • Preferred: Healthcare domain expertise, particularly Medicare Advantage, risk adjustment, or claims analytics • Experience with production document understanding systems (OCR, NER, entity extraction, LLM pipelines) • Published research, open-source contributions, or patents in ML/AI • Track record of translating research innovations into production systems • Education Required: PhD in Computer Science, Machine Learning, Statistics, or related field • Preferred: Training or certification in MLOps, cloud platforms (Azure, AWS, GCP), or healthcare regulations (HIPAA, CMS)

🏖️ Benefícios

• None listed