Data Scientist, Healthcare Analytics and AI
Employment type
Full-time
Work setting
On-site
Location
Little Rock, AR
Schedule
Day shift
Posted
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Job overview
The Data Scientist, Healthcare Analytics and AI role is onsite in Little Rock, AR. Compensation is not specified. The position supports Pain Treatment Centers of America by analyzing financial, operational, revenue-cycle, and clinical data across the organization. The data scientist develops reporting and dashboards, identifies trends and opportunities, and translates business questions into useful analysis for department leaders. The role also applies statistical and predictive methods and explores AI tools to improve reporting, forecasting, and data analysis while protecting sensitive information and PHI.
What you'll do
- Analyze financial, operational, revenue-cycle, claims, provider, procedure, and other healthcare data
- develop financial reports and dashboards
- analyze provider and CPOE activity, reimbursement, protocol compliance, and missed opportunities
- monitor denials and identify underpayments and revenue leakage
- define metrics with department leaders
- analyze purchasing and cost data
- use statistical and predictive methods
- apply AI tools to support analysis and reporting
- protect PHI and sensitive information.
What we're looking for
- Skills & competencies
- data scientisthealthcare analyticsartificial intelligencesqlpythonpredictive analyticsdashboardsrevenue cyclelittle rock arpain treatment centers of americafull-timeonsite
- Work arrangement
- Weekend coverage required
Why this role
Cross-functional analytics role spanning Finance, Operations, RCM, IT, and other departments; SQL and Python required; AI/LLM, Azure, APIs, and data-pipeline experience preferred.
About the employer
Pain Treatment Centers of America is hiring for this role. Industry: All Other Outpatient Care Centers. Sector: 62.
Additional details
- Industry sector
- 62
- Industry
- All Other Outpatient Care Centers
- Occupation code
- 15-2051.00
You'll be redirected to the employer's application page.
Listing ID: 1a4821d4-71fe-4320-b2c2-680fc8495a21