Note: The job is a remote job and is open to candidates in USA. Emory Healthcare is hiring a Data Scientist to turn clinical and operational data into trusted measures, models, and AI tools for leaders and clinicians. The role builds validated datasets and production models, applies NLP and LLMs to clinical text, delivers Power BI reports and conversational data agents, protects patient data, and communicates findings while supporting the analytics team.
Responsibilities
- Build trusted datasets and measures from Epic data (Clarity / Caboodle): define cohorts and metrics with clinical and business owners, write the SQL / PySpark, and validate every number against existing reports before it is used
- Develop and deploy models: statistical and machine-learning models for operational and clinical questions (length of stay vs GMLOS, readmission and transfer risk, throughput, productivity), from exploration through scheduled production pipelines in Fabric / Azure, with monitoring and documentation
- Apply NLP and LLMs to clinical text (pathology, radiology and clinical notes) to extract structured facts, with test sets, evaluation and human review before results are trusted
- Deliver to users: Power BI semantic models and reports, and conversational data agents that answer leaders' questions in plain English, with appropriate row-level security
- Protect patient data: minimum-necessary access, de-identification where possible, HIPAA, and research vs. quality-improvement boundaries (IRB) understood and respected
- Communicate: explain results, definitions and caveats to physicians and executives clearly; write short, plain-language documentation
- Raise the bar for the team: reusable code, peer review, versioned definitions, and mentoring of analysts
Skills
- 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
- A master's degree
- 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
- Epic data (Clarity, Caboodle, Cogito) and its clinical and revenue-cycle concepts (encounters, DRG / GMLOS, wRVU, orders and results)
- Microsoft Fabric / Azure (lakehouses, Spark notebooks, Power BI semantic models and DAX, Azure AI Foundry)
- NLP / LLM work on pathology, radiology, clinical notes, including evaluation and human-in-the-loop review
- PHI handling, quality improvement vs research/IRB
- Healthcare operations metrics (LOS, throughput, productivity) or oncology / quality-improvement analytics
- Semantic models, reports and AI data agenets, with security
- Research data standards (OMOP, FHIR) and IRB processes
- Version control (Git), Agile delivery, MLOps
- SQL on large healthcare data, ideally Epic
- Python or R
- A validation mindset: be able to articulate discussion about a time your numbers didn't match an existing report
- Communicating with physicians and executives
- Clinical text NLP or LLMs, with evaluation
- Fabric, Power BI or Azure (trainable)
Benefits
- Comprehensive health benefits that start day 1
- Student Loan Repayment Assistance & Reimbursement Programs
- Family-focused benefits
- Wellness incentives
- Ongoing mentorship, development, and leadership programs
- Remote position; 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
Company Overview
Company H1B Sponsorship