Hybrid Health Data Scientist – Predictive Analytics

UNC Health; United States; Hybrid; USD 137,253,000 - 197,312,000; Full time

Job summary

UNC Health Data Scientists within the Enterprise Analytics and Data Sciences organization apply advanced analytical methods to improve healthcare delivery, cost, quality, and outcomes. They deploy data science solutions that deliver actionable insights to stakeholders with measurable impact.

This role focuses on designing scalable analytic models, collaborating with clinical and business teams, and communicating complex results clearly.

Qualifications

• Requires a Bachelor's degree in a related field.
• Experience with R, Python, or other analytics/data mining tools, databases, and programming.
• Experience in developing predictive models and analytic assets.
• Experience in SQL/Database programming and complex queries.

Responsibilities

• Designs enterprise-class analytic models from large data sets.
• Establishes scalable automated data analyses and model workflows.
• Ensures consistent reporting and output formatting.
• Documents technical designs such as ERD and data flow diagrams.
• Drafts analytic proposals and solutions for stakeholders.
• Interfaces with stakeholders for requirements gathering and solution design.
• Organizes data constructs for clinical and business analyses.

Skills

R programming

Python

SQL

Data mining

Statistical modeling

Machine learning

Data visualization

BI tools

Cloud computing

Problem solving

Education

Bachelor's degree in related field

Tools

SQL databases

ETL tools

Cloud platforms

Job description

UNC Health Data Scientists within the Enterprise Analytics and Data Sciences organization apply advanced analytical methods to improve healthcare delivery, cost, quality, and outcomes. They deploy data science solutions that deliver actionable insights to stakeholders with measurable impact.

This role focuses on designing scalable analytic models, collaborating with clinical and business teams, and communicating complex results clearly.