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Data Engineer - FHIR Expertise at Walter

, , United States -

Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

0.0

Posted On

09 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

FHIR, Epic Clarity, Data Engineering, Data Management, Healthcare IT, Clinical Workflow, HL7, JSON, Big Data, Cloud Solutions, Data Mapping, Nursing Operations Support, Health Systems Management, AI Solutions, Patient Recommendations, Medical Policy Integrations

Industry

Graphic Design

Description

Our client is a forward-thinking company focused on creating cutting-edge medical AI assistants. Their mission is to revolutionize healthcare by integrating AI into health systems to improve efficiency, patient experience, and overall system management. About the Role The client is seeking a SME's with Fast Healthcare Interoperability Resources / FHIR expertise and/or Epic Clarity experience to lead the development of AI-powered medical assistants tailored to healthcare systems. This pivotal role involves managing complex workflows, integrating policy recommendations, and supporting nursing staff operations with advanced data solutions. Tasks & Deliverables Build and Enhance Medical AI Assistants data: Develop AI solutions that optimize patient recommendations, medical policy integrations, and support health system submissions data. Data Management & Integration: Spearhead data extraction and management, with a focus on big data and cloud solutions. FHIR Audit & Data Mapping: Conduct FHIR audits and establish data mapping to streamline clinical workflows. Experience with HL7 JSON Expertise in Data Engineering & Management and handling large datasets. FHIR (Fast Healthcare Interoperability Resources) proficiency. Solid background in Healthcare IT and Clinical Workflow expertise. Previous experience on Epic Clarity. Nice-to-have Skills Experience with Health Systems Management and Nursing Operations Support. Knowledge of Insurance Companies Integration with medical policy recommendations. Familiarity with developing smart apps aimed at improving patient history and data accessibility. Engagement Details Commitment Type: Full-time Duration: 3 - 6 months Location: US-based Start Date: Immediate start

Responsibilities

The role involves leading the development of AI-powered medical assistants tailored to healthcare systems. This includes managing complex workflows and integrating policy recommendations to support nursing staff operations with advanced data solutions.