AI & Data Scientist (Remote)

Role Overview

AI & Data Scientist (Remote) at Alignment Health. You will build production-grade AI/ML solutions on the company’s proprietary clinical intelligence platform (AVA), supporting risk adjustment strategy for Medicare Advantage. The work combines end-to-end data science (from problem framing to model delivery) with software engineering to deploy reliable services into production.

Responsibilities

• Own end-to-end solutions:
  • Convert ambiguous healthcare/operational problems into measurable AI/ML outcomes
  • Select methods, build data/models, deploy services, add observability, and run real-world feedback loops
• Partner cross-functionally with Product, Engineering, and Clinical leaders to embed data science into workflows such as:
  • claims processing, utilization management, provider network optimization, and risk adjustment
• Deliver clinical intelligence capabilities, including:
  • autonomous chart review, disease detection, compliance forecasting, quality analytics
• Build document understanding & analytics models using AI/NLP/LLMs:
  • OCR, NER, and vision models; information extraction and documentation analytics
• Support quality & payment integrity by:
  • creating models and automated QA to reduce manual review, improve accuracy, and flag documentation anomalies/audit risk
• Ensure engineering excellence:
  • build internal libraries and reusable components, uphold coding standards, participate in code reviews, and document clearly
• 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 and SQL
• Experience building reusable packages/utilities/CLI tools
• Applied ML knowledge including tree ensembles/boosting, NLP/LLMs, and/or deep learning; plus experimental design
• Experience with high-volume, high-dimensional, and unstructured data and a strong data quality mindset
• Experience with Git workflows, code reviews, and CI/CD
• Strong data visualization and storytelling skills
• Ability to thrive in ambiguous, fast-paced environments

Preferred

• Healthcare domain experience and familiarity with CMS/Medicare Advantage operations
• Experience with document understanding systems (OCR/NER, LLM pipelines)
• Experience with NoSQL and performance optimization
• Contributions to internal frameworks or open-source, and/or published work

Education

• Required: Bachelor’s degree in Computer Science, Data Engineering, or similar
• Preferred: MSc/PhD in CS/Engineering/Math/Statistics or related