AI & Data Scientist

🕒 6 days ago

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Alignment Health

WebsiteLinkedInAll Job Openings

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

• Own end‑to‑end solutions: translate ambiguous healthcare and operational problems into AI/ML models that deliver measurable impact by selecting methods, building data/models, deploying services, instrumenting observability, and real-world feedback loops. • Partner with Product, Engineering, and Clinical leaders to embed data science into workflows like claims processing, utilization management, provider network optimization, risk adjustment, etc. • Deliver clinical intelligence features such as autonomous chart review, disease detection, compliance forecasting, and quality analytics. • Build AI/NLP/LLM models for document understanding and information extraction, including OCR, NER, and vision models. • Advance quality and payment integrity: create models and automated QA to reduce manual review, increase accuracy, and surface documentation anomalies and audit risk. • Champion engineering excellence: internal libraries, reusable components, coding standards, code reviews, and clear documentation. • Own the lifecycle: monitoring, drift detection, alerting, and post‑deployment reviews.

🎯 Requirements

• 2-5 years delivering production‑grade data science or ML software with measurable impact. • Strong software engineering fundamentals: data structures, algorithms, modular design, API design, documentation. • Proficiency in Python plus SQL; experience building reusable packages, utilities, and CLI tools. • Applied knowledge of ML (tree ensembles, boosting, NLP/LLMs, deep learning) and experimental design. • Experience with high‑volume, high‑dimensional, and unstructured data; strong data quality mindset. • Experience with Git workflows, code reviews, CI/CD. • Excellent data visualization and storytelling skills. • Ability to thrive in ambiguous, fast‑paced environments. • Preferred: Healthcare domain experience; familiarity with CMS/Medicare Advantage operations. • Document understanding systems with OCR/NER and LLM pipelines. • Experience with NoSQL and performance optimization. • Contributions to internal frameworks or open‑source; published work.

🏖️ Benefits

• Health insurance • 401(k) • Paid time off • Professional development opportunities