Talantix.io
Remote Position•12.03.26
AI SCORE 8.5

Healthcare Payment Accuracy Specialist - Remote

$80K–$100K/year
RemoteHealthcare
Data Analysis•Python•Excel•Medical Coding•Billing•Revenue Cycle Management•Predictive Analytics•SaaS•Telehealth

About the Role

We are seeking a dedicated Healthcare Payment Accuracy Specialist to join our team remotely. In this role, you will ensure the accuracy of healthcare payments, working closely with various stakeholders to validate claims and improve the revenue cycle management process. As a Healthcare Payment Accuracy Specialist, you will play a crucial role in enhancing patient care and operational efficiency.

What You'll Do

  • Analyze healthcare payment data to identify discrepancies and ensure compliance with policies.
  • Collaborate with cross-functional teams to streamline claims processing and improve payment accuracy.
  • Utilize predictive analytics and data validation techniques to enhance revenue cycle management.
  • Implement software engineering principles to optimize payment systems and workflows.
  • Provide insights and recommendations based on data analysis to improve overall payment processes.

Requirements

  • 3+ years of experience in healthcare payment accuracy or related fields.
  • Strong knowledge of medical coding, billing, and revenue cycle management.
  • Proficiency in data analysis tools and techniques, including Python and Excel.
  • Experience with SaaS applications and telehealth services.
  • Excellent communication and collaboration skills to work effectively in a remote environment.

Nice to Have

  • Familiarity with FDA drug labels and compliance standards.
  • Experience in predictive analytics and AI applications in healthcare.
  • Knowledge of PCI compliance and credit processing systems.

What We Offer

  • Remote work flexibility with a home office stipend.
  • Equity and 401(k) matching to support your financial future.
  • Unlimited PTO and comprehensive health plans for your well-being.
  • Mental and physical wellness support to ensure a healthy work-life balance.
  • Generous contributions to health premiums to ease your healthcare costs.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This role offers a unique opportunity to work remotely in the healthcare sector, focusing on payment accuracy and data analysis. With competitive benefits and a supportive work environment, it's an attractive position for professionals looking to make an impact in healthcare.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Python and Excel for advanced data analysis, enabling the identification of payment discrepancies and trends in the healthcare payment process.

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Strong understanding of medical coding and billing practices, ensuring compliance with industry standards while working remotely, which requires self-motivation and excellent time management skills.

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Experience with predictive analytics in a SaaS environment, allowing for the development of data-driven solutions to enhance revenue cycle management and improve operational efficiency.

Learning Resources

→Python for Data Analysiscourse
→Introduction to Medical Codingcourse
→Understanding Revenue Cycle Managementarticle

Career Path

Healthcare Payment Accuracy Specialist(Now)→Revenue Cycle Analyst(1-2 years)→Healthcare Data Consultant(3-5 years)

Market Overview

Market Size 2024
$35B
Annual Growth
11.5%
AI Adoption in Healthcare
45%
Investment in HealthTech Data Solutions
+150%
Labour Demand for Data Analysts in Healthcare
+20%
Avg Salary for Healthcare Data Analysts
$85K

Skills & Requirements

Required
Data AnalysisPythonExcel
Growing in Demand
Machine LearningCloud Computing (AWS, Azure)Data Visualization (Tableau, Power BI)
Declining
Traditional SQL DatabasesManual Data Entry

Domain Trends

Rise of Predictive Analytics
The use of predictive analytics in healthcare is expected to grow by 30% by 2025, helping organizations improve patient outcomes and reduce costs.
Telehealth Expansion
Telehealth services are projected to increase by 25% annually, leading to a greater need for data analysts to evaluate service effectiveness and billing accuracy.
Integration of AI in Revenue Cycle Management
AI-driven solutions in revenue cycle management are expected to enhance payment accuracy by 40%, creating a demand for specialists who can analyze and implement these technologies.

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