Alignment Health
501 - 1000 employees
Founded 2013
⚕️ Healthcare Insurance
💰 $135M Series C on 2020-03
Healthcare Insurance • Insurance • Healthcare
Alignment Health is dedicated to providing comprehensive care for Medicare members, emphasizing the needs of seniors, the chronically ill, and those who are frail. With a mission to transform senior healthcare, Alignment Health leverages a tailored care model and advanced technology to deliver high-quality, low-cost healthcare services. Their 24/7 concierge care team collaborates with trusted local providers to ensure that every member receives personalized care, reflecting the company's commitment to treating all members as valued family members.
Senior AI & Data Scientist
🕒 April 30
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Alignment Health
501 - 1000 employees
Founded 2013
⚕️ Healthcare Insurance
💰 $135M Series C on 2020-03
Healthcare Insurance • Insurance • Healthcare
Alignment Health is dedicated to providing comprehensive care for Medicare members, emphasizing the needs of seniors, the chronically ill, and those who are frail. With a mission to transform senior healthcare, Alignment Health leverages a tailored care model and advanced technology to deliver high-quality, low-cost healthcare services. Their 24/7 concierge care team collaborates with trusted local providers to ensure that every member receives personalized care, reflecting the company's commitment to treating all members as valued family members.
📋 Description
• Architect end-to-end AI/ML solutions for complex healthcare challenges • Design and deliver production-grade machine learning systems for high-stakes applications including risk stratification, clinical decision support, autonomous chart review, and fraud detection • Build reliable, scalable AI services including experimentation, validation, deployment, monitoring, drift detection, and continuous improvement • Collaborate with Product, Clinical, Operations, and Compliance teams to identify high-value AI opportunities aligned with business strategy • Mentor data scientists through code reviews and architectural discussions
🎯 Requirements
• 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 • PhD in Computer Science, Machine Learning, Statistics, or related field • Continuous learning in ML/AI advancements, healthcare analytics, and software engineering practices • Preferred: Training or certification in MLOps, cloud platforms (Azure, AWS, GCP), or healthcare regulations (HIPAA, CMS)
🏖️ Benefits
• Health insurance • Retirement plans • Professional development opportunities
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