Data Scientist at Emory Healthcare

Tucker, Georgia, United States -

Full Time

Start Date

Immediate

Expiry Date

13 May, 26

Salary

0.0

Posted On

12 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Predictive Models, Analytical Frameworks, Machine Learning Pipelines, Natural Language Processing, MLOps, Statistical Models, Clinical Outcomes Improvement, Data Visualization, Code Review, Stakeholder Relationships, Model Governance, HIPAA Compliance, SQL, Python, R, SAS

Industry

Hospitals and Health Care

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.

Responsibilities

The Data Scientist will lead the development of advanced models and experimentation frameworks, designing and building end-to-end machine learning pipelines in a cloud environment. This role also involves refining NLP pipelines, mentoring junior staff, and owning domain-specific analytics solutions.