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Alignment Health
Alignment Health
501 – 1,000 Employees
HealthcareHealthcare InsuranceInsurance
Alignment Health is a healthcare insurance company focused on improving care for Medicare members, particularly seniors, people living with chronic conditions, and those who are frail. Founded in 2013, the company combines a personalized care model with technology and a 24/7 concierge care team to coordinate support with trusted local providers. Its work spans healthcare delivery and insurance, with a focus on making care more accessible, responsive, and cost-conscious for its members. Alignment Health hires across a growing healthcare organization serving the needs of Medicare communities.
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Senior AI and Data Scientist

Architect production machine learning solutions for Alignment Health’s senior care platform. Lead healthcare analytics, model deployment, and technical mentorship.

USUnited States
$172,364 – $258,547 / year
RemoteFull-timeSeniorEnglish RequiredData Scientist
CloudDockerJavaPySparkPythonSparkSQLUnity

Description

  • Develop end-to-end AI and machine learning solutions for healthcare challenges such as risk stratification, clinical decision support, automated chart review, and fraud detection.
  • Build production machine learning systems that process millions of healthcare transactions.
  • Manage the machine learning lifecycle, from experimentation and validation to deployment, monitoring, drift detection, and ongoing improvement.
  • Set up instrumentation, observability, alerts, and feedback loops to support model performance and reliability in production.
  • Research and apply advanced deep learning, natural language processing and large language models, computer vision, and causal inference.
  • Promote engineering practices that support code quality, testing, documentation, reuse, and maintainability.
  • Work with Product, Clinical, Operations, and Compliance teams to find high-value AI opportunities.
  • Explain technical concepts in business terms for executives and inform product and technology decisions.
  • Guide data scientists through code reviews, architecture discussions, pair programming, presentations, and documentation.
  • Interview technical candidates and demonstrate rigorous analysis and problem-solving practices.

Requirements

  • Bring 5–8 years of experience delivering production data science or machine learning solutions with demonstrated business impact.
  • Show a track record of designing complex machine learning systems from research through production deployment.
  • Offer deep expertise in multiple machine learning domains and strong software engineering fundamentals.
  • Have experience leading technical projects and mentoring data scientists.
  • Hold a PhD in Computer Science, Machine Learning, Statistics, or a related field.
  • Stay current with advances in machine learning and AI, healthcare analytics, and software engineering practices.
  • Demonstrate expert proficiency in data science methods, workflows, and best practices.
  • Bring advanced machine learning skills, including ensemble methods, deep learning, natural language processing, large language models, and computer vision.
  • Apply strong statistical analysis and experimental design skills.
  • Write production-quality, maintainable code using Python, Java, SQL, or PySpark at an expert level.
  • Use advanced SQL and work with high-volume, high-dimensional healthcare data.
  • Work with Databricks, Spark, Delta Lake, MLflow, Unity Catalog, and cloud platforms.
  • Use Git workflows, CI/CD pipelines, Docker, and modern MLOps practices.
  • Understand healthcare data and Medicare Advantage operations in depth.
  • Communicate exceptionally well, translating technical complexity into business value.
  • Create clear data visualizations and communicate findings through effective storytelling.
  • No license is required.

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