Python Automation developers

Title: Python Automation developers Location: Remote in USA Duration: Long Term Python developers with Healthcare Revenue Cycle Management experience. Skills- PyAuto GUI 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. Please send your resumes to: Email: ak@eagleiitech.com