Python Developer

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 5 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.