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Emory University

Data Scientist – Cardiac Arrest Registry to Enhance Survival

Emory University

. Lead the development, deployment, and optimization of data pipelines, analytics, and AI-driven solutions supporting the Cardiac Arrest Registry to Enhance Survival (CARES).

Posted 4/29/2026full-timeAtlanta • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSCloudPythonSQLTableau

About the role

Key responsibilities & impact
  • Lead the development, deployment, and optimization of data pipelines, analytics, and AI-driven solutions supporting the Cardiac Arrest Registry to Enhance Survival (CARES).
  • Partner with clinical, operational, and technical stakeholders to translate data into actionable insights.
  • Build scalable systems and modernize workflows using cloud-based and AI-enabled solutions.
  • Conduct statistical analyses on large datasets to identify trends, patterns, and correlations.
  • Deploy models and analytics solutions into production environments.
  • Support automation of data ingestion, validation, and workflows.

Requirements

What you’ll need
  • Master's degree in Statistics, Mathematics, Computer Science or another quantitative and 3 years of relevant experience.
  • Experience building production-grade data systems.
  • Experience with real-time or near-real-time data systems.
  • Experience integrating multiple data sources and APIs.
  • Familiarity with healthcare, EMS, or public health data.
  • Experience with data quality automation and validation pipelines.
  • Advanced proficiency in Python.
  • Proficiency in SQL.
  • Experience with AI/ML, including NLP or applied Al workflows.
  • Experience with AWS or other cloud platforms.
  • Proficiency with Tableau or similar data visualization tools.
  • Experience with modernizing workflows to improve operational efficiencies.

Benefits

Comp & perks
  • Not Applicable 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

ATS Keywords

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Hard Skills & Tools
data pipelinesstatistical analysesPythonSQLAI/MLNLPdata quality automationvalidation pipelinesreal-time data systemsproduction-grade data systems
Soft Skills
collaborationcommunicationproblem-solvinganalytical thinkingstakeholder engagement