EHR Data Lead

This is a fully remote position, open to applicants in United States.

📋 Description

• Obtain read and write access to fragmented practice EHRs through various methods including FHIR APIs, HL7 feeds, VPN/remote access, portal pulls, SFTP drops, or CSV exports.

• Ensure EHR data is directed to engineering for cleaning, normalization, and modeling.

• Collaborate with EHR vendors and practice IT teams to negotiate access and resolve connection issues.

• Draft and oversee Data Transfer Agreements with external providers.

• Create and implement clinical notifications, such as GDMT prompts, care gap alerts, ADT-triggered discharge notifications, and transitions-of-care signals.

• Transform raw patient data from various EMR formats into standardized target data models.

• Utilize AI tools to extract, normalize, and route unstructured clinical data.

• Assist in partner and payer data integrations, which include eligibility files, claims, attribution data, and return files.

• Collaborate with the engineering team on data cleaning, normalization, modeling, ingestion troubleshooting, and data warehousing.

• Convert operational requirements into reliable data flows that serve clinical, network, and practice-facing teams.

• Develop monitoring, error handling, and documentation to ensure reliable integrations.

• Guarantee compliance with HIPAA and data protection regulations during data transmission and handling.

• Achieve live transitions-of-care read access for 70% of patient coverage within the first 90 days.

⛳️ Requirements

• 5–7+ years of experience in healthcare technology, EHR implementation, or interoperability.

• Proven history of obtaining live data access across multiple ambulatory EHR systems.

• Familiarity with APIs, HL7/FHIR, VPN access, portal pulls, or other unconventional integration methods.

• Understanding of FHIR, HL7v2, and C-CDA interoperability standards.

• Experience in managing vendor and practice-IT relationships to secure access.

• Proficiency in both API integrations and practical workaround strategies.

• Knowledgeable in eligibility, claims, attribution, transitions of care, and GDMT concepts.

• Capability to use SQL, Python, or automation tools such as Claude.

• Must be able to pass a basic coding assessment.

• Possess a pragmatic, ownership-oriented mindset.

• Familiar with HIPAA and data protection requirements related to clinical data transmission and third-party data sharing.

• Reside in the Eastern or Central time zone.

• Authorized to work in the U.S. without sponsorship.

🏝️ Benefits

• Remote work arrangement.

• Occasional travel to practice sites or Chamber offices as required.

• Opportunity to leverage AI tools and automation in the role.