Applied Health Data Scientist – Hybrid Role

UNC Health Care; Morrisville (NC); Hybrid; USD 66,000 - 94,000; Full time

Job summary

UNC Health Care is seeking a Data Scientist within the Enterprise Analytics and Data Sciences organization. The role focuses on applying advanced analytical methods to improve health care delivery, cost, quality, and outcomes, delivering actionable insights to stakeholders.

You will work with R, Python, SQL, and BI tools to build predictive models and large-scale analyses in a hybrid environment. A Bachelor's degree in a related field is required; prior healthcare analytics experience is a plus.

Qualifications

• Requires a Bachelor's degree in a related field.
• Experience with R, Python, or other analytics/data mining tools and SQL/database programming.
• Experience building and deploying predictive models and other analytic assets.

Responsibilities

• Designs and develops enterprise-class, advanced analytic models to understand and solve complex business problems.
• Establishes scalable, efficient, automated processes for large scale data analyses and model development, validation, and implementation.
• Ensures consistent, meaningful reporting and output formatting across all deliverables.
• Develops and documents technical designs such as ERD, data flow diagrams, architecture design documents, etc.
• Drafts and presents analytic proposals and solutions to stakeholders grounded in domain knowledge.
• Interfaces with stakeholders to assist in requirements gathering, research activities, and solution design.
• Organizes methods, plans, and data constructs for effective clinical and business analyses.

Skills

R

Python

SQL

Data Visualization

Statistics

Machine Learning

Big Data

BI Tools

Cloud Computing

Analytical Thinking

Education

Bachelor's degree in a related field

Tools

SQL

Business Intelligence tools

Tableau/Power BI

Job description

UNC Health Care is seeking a Data Scientist within the Enterprise Analytics and Data Sciences organization. The role focuses on applying advanced analytical methods to improve health care delivery, cost, quality, and outcomes, delivering actionable insights to stakeholders.

You will work with R, Python, SQL, and BI tools to build predictive models and large-scale analyses in a hybrid environment. A Bachelor's degree in a related field is required; prior healthcare analytics experience is a plus.