Healthcare Revenue Data Scientist - 100% REMOTE - 256553

Job Title: Healthcare Revenue Data Scientist

Position Type: Contract to Hire

Position Level: 3-5+ years post-graduate professional experience

Compensation Range: $125,000 - $150,000 / year

Work Location: FULLY REMOTE

*Must live in the US and work EST/CST hours

ABOUT OUR CLIENT / ABOUT THIS ROLE

Medix is currently seeking a Healthcare Revenue Data Scientist for a career opportunity with one of our Healthcare Analytics Services clients. This is a 100% remote role that will start on a contract basis (6-12 months), and convert to a full-time employee in 2027.

This Healthcare Revenue Data Scientist will be joining a team focused on developing Machine Learning Algorithms to predict Fraud, Waste and Abuse (FWA) across the Revenue Life Cycle. This individual will be developing and operating / optimizing predictive models for deep analysis on financial / revenue cycle data, with an emphasis towards identifying outliers and anomalies, and returning measurable cost-savings to healthcare clients.

Please note that a deep proficiency with Python, Python Libraries and Statistical language like R Programming are required.

RESPONSIBILITIES

• Building and deploying predictive models to assess anomalies and patterns for fraud, waste, and abuse in Healthcare Claims / Financial Data.
• Developing and owning complex data products that can help automatically identify and prevent FWA.
• Building end to end data pipelines (structured, text, documents, images) optimized for LLMs and multi-modal models.
• Designing, developing and deploying LLM-based solutions (RAG, embeddings, instruction tuning) for claims handling, document understanding, and related use cases.
• Conducting deep-dive analyses, heavy SQL coding, and predictive modeling to identify patterns in the data
• Working with Agentic AI tools to develop, implement, and maintain advanced operational workflows to integrate vendor solutions with client environments.
• Serving as a liaison and communicator to leadership (department heads). This will include meeting regularly with business leaders to help solution how to embed automatic data processes into every day revenue cycle workflows
• Visualizing data via dashboards and present complex findings to non-technical stakeholders and/or legal teams

REQUIRED SKILLS

• Required Bachelor of Science Degree
• Must have at least 3 years of aligned experience in the Industry with Healthcare Billing and Revenue Cycle
• Strong background in applied statistics, regression analysis, and clustering techniques.
• Advanced hands-on experience with Python and Python-based libraries (PySpark, Numpy, SciPy)
• Advanced hands-on experience with SQL

No C2C Inquiries - this is a contract to hire a position that will convert to a full time employee within 6 months. Work visa sponsorship is not offered: talent must be permanently authorized to work for our client without the need for work-visa sponsorship now, or in the future.