Title: Python Automation developers
Location: Remote in USA
Duration: Long Term
Python developers with Healthcare Revenue Cycle Management experience.
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 Pythonbased 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 crossfunctional 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: Indepth 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 thirdparty healthcare software (EHR/EMR systems billing software etc.).
ProblemSolving: Excellent analytical and problemsolving skills to handle complex data and workflow scenarios.
Communication: Strong verbal and written communication skills to collaborate with technical and nontechnical 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: