Role--Python Developers with strong experience in healthcare RCM (Revenue
Cycle Management) & AI MUST.
12+Yrs exp-6 Yrs in USA
100% Remote
HEALTH CARE DOMAIN MUST with RCM-(Revenue cycle management) & STRONG AI
-7+Yrs- Current and previous project.


Job Description:

We are seeking skilled Python Developers with strong experience in
healthcare RCM (Revenue Cycle Management) automation. The ideal candidates
will have a deep understanding of healthcare APIs (such as HL7, FHIR, and
EDI 837/835) and the ability to design, develop, and maintain automated
solutions to optimize RCM workflows.



Responsibilities:

- Develop, test, and maintain Python-based automation solutions for
healthcare RCM applications.

- Integrate and interact with various healthcare APIs (HL7, FHIR, EDI,
etc.) to facilitate seamless data exchange between systems.

- Collaborate with cross-functional teams (RCM analysts, coding specialists,
etc.) to understand automation requirements and develop efficient solutions.

- Build, deploy, and manage scalable and reliable healthcare data processing
pipelines.

- Troubleshoot and resolve issues in the automation of RCM processes,
ensuring high data accuracy and compliance with healthcare regulations.

- Optimize existing processes and develop new features to improve the RCM
automation systems.

- Stay updated on healthcare technology trends, particularly those relevant
to RCM and data exchange standards.



Requirements:

Experience: Minimum of 7 years of experience in Python development with
a focus on healthcare automation.

Healthcare API Knowledge: In-depth experience with healthcare APIs such
as HL7, FHIR, EDI 837/835, and other relevant data exchange standards.

RCM Automation: Proven experience in automating complex workflows within
the healthcare revenue cycle, including eligibility, claims processing,
payments, and denials management.

Integration Skills: Experience integrating with third-party healthcare
software (EHR/EMR systems, billing software, etc.).

Problem-Solving: Excellent analytical and problem-solving skills to
handle complex data and workflow scenarios.

Communication: Strong verbal and written communication skills to
collaborate with technical and non-technical stakeholders.



Preferred Qualifications:

- Experience with Azure cloud platforms and containerization
technologies (Docker, Kubernetes).

- Familiarity with machine learning techniques for predictive analytics
in RCM processes.