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Data Scientist

Roles & Responsibilities

  • Bachelor's degree required; master's degree preferred in a relevant field (e.g., data science, statistics, computer science, or healthcare analytics).
  • 5+ years of experience in healthcare or data analytics, including at least 2 years with payor companies or healthcare systems.
  • Proficiency in SQL and at least one other programming language (Python, R, or SAS); experience with relational databases.
  • Experience with statistical modeling, machine learning or AI; familiarity with HIPAA compliance or OMOP/standardized data models, HL7/FHIR standards, and agile methodologies.

Requirements:

  • Lead development of advanced models and experimentation frameworks; design, build, and maintain end-to-end ML pipelines in a cloud-based framework with contributions to MLOps for scalable, reliable production deployment.
  • Develop and refine NLP pipelines to extract structured information from unstructured clinical documentation; apply statistical techniques to improve clinical workflows.
  • Mentor junior data scientists, review code and methodologies, and manage domain-specific analytics solutions and stakeholder relationships.
  • Create visualizations and communicate findings to cross-functional teams; collaborate with data scientists to build predictive models when necessary and ensure governance and documentation standards are met.

Job description

Overview:

 

Be inspired. Be valued. Belong. 

 

At Emory Healthcare we fuel your professional journey with better benefits, valuable resources, ongoing mentorship and leadership programs for all types of jobs, and a supportive environment that enables you to reach new heights in your career and be what you want to be.  We provide:

  • Comprehensive health benefits that start day 1
  • Student Loan Repayment Assistance & Reimbursement Programs
  • Family-focused benefits
  • Wellness incentives

Ongoing mentorship, development, leadership programs...and more!

 

Remote position, however candidates must reside in one of the following states:  Alabama, Arkansas, Florida, Georgia, Illinois, Louisiana, Michigan, New Hampshire, North Carolina, Ohio, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, or Wisconsin.

Description:

The Data Scientist will play a central role in advancing data‑driven decision‑making across the organization, with a strong focus on improving clinical outcomes through analysis. This position is responsible for developing predictive models and analytical frameworks that uncover the drivers of key operational metrics such as length of stay, patient retention, transfer risk, and throughput bottlenecks.

Working closely with clinical, operational, and technical teams, the Data Scientist will design and implement statistical models, machine learning pipelines, and natural language processing solutions that leverage both structured and unstructured healthcare data. The role also includes contributing to MLOps practices to ensure scalable, reliable deployment of models into production environments.

This position is ideal for someone who thrives at the intersection of advanced analytics and real‑world healthcare challenges—someone who can translate complex data into actionable insights that meaningfully improve patient care and organizational performance.  

 

RESPONSIBILITIES:

  • Lead development of advanced models and experimentation frameworks.
  • Design, build, and maintain end‑to‑end machine learning pipelines in a cloud based framework.
  • Develop and refine NLP pipelines to extract structured information from unstructured clinical documentation.
  • Mentor junior data scientists and review code and methodologies.
  • Own domain-specific analytics solutions and stakeholder relationships.
  • Applying statistical techniques to improve clinical workflows
  • Ensure model governance and documentation standards are met.
  • Explore large datasets to identify patterns, trends, and insights.
  • Create visualizations (such as charts, graphs, and dashboards) to communicate findings effectively.
  • Apply statistical techniques to analyze data and draw meaningful conclusions.
  • Collaborate with data scientists to build predictive models when necessary.

PREFERRED QUALIFICATIONS:

  • Experience in StrataJazz or similar decision support system (Data sources include electronic health records (e.g., EPIC), decision support systems (e.g, EPSi, StrataJazz), and other healthcare systems.)
  • HIPAA compliance or experience with OMOP/standardized data models.
  • HL7/FHIR standards and Data Ethics/Privacy.
  • Agile experience
  • JUDGEMENT: Leads a team - Helps develop and implement a solution and/or analytical strategy for the group - Manage customer relationships, communicating results and recommendations to project sponsors, clients & various senior level audiences - Guide decision-making through data-driven recommendations

MINIMUM QUALIFICATIONS:

  • Education: A bachelors degree, a master's degree is preferred
  • Experience:  At least 5 years of experience either in healthcare or data analytics - At least 2 years of experience working for payor companies or healthcare systems - At least 2 years of experience in relational database - Proficient in SQL and at least 1 other programming languages (e.g., Python, R, SAS) - Experience in statistical modeling, machine learning, AI - Excellent presentation skills - Experience in strategic planning and workflow optimization - Mentor and coach the broader analytic team and service line operation leaders
Additional Details:

Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law.

 

Emory Healthcare is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. Please contact Emory Healthcare’s Human Resources at careers@emoryhealthcare.org. Please note that one week's advance notice is preferred.

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