Remote Clinical Data Architect for Healthcare Analytics

Ingenium Talent; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Ingenium Talent is partnering with a Kentucky-based healthcare analytics firm to recruit a full-time Clinical Data Architect. This role focuses on developing and maintaining clinical coding frameworks (ICD-10-CM/PCS, CPT, HCPCS) and scalable data structures to support reporting and advanced analytics.

Remote work is allowed from anywhere in the United States, preferably in EST or CST, with collaboration across data science, engineering, and clinical teams.

Qualifications

• 5+ years of experience working with healthcare data analytics, coding, or data design.
• Knowledge of ICD-10-CM/PCS, CPT, HCPCS; CPC/CCS certification preferred.
• Proficiency in SQL and Python for data analysis and transformation.

Responsibilities

• Define and document business and data requirements with clinical, analytics and engineering teams.
• Design, develop, and maintain clinical coding frameworks and repositories (ICD-10-CM/PCS, CPT, HCPCS, DRG).
• Translate clinical concepts into scalable data logic and product features.
• Collaborate with Data Architects and Engineers to support data pipelines design and optimization.
• Ensure accuracy, completeness, and consistency of coded data across products.
• Conduct exploratory data analysis to identify trends and opportunities for improvement.
• Support product development through testing, validation, and QA processes.
• Contribute to documentation, standards, and best practices for clinical data usage.

Skills

SQL

Python

Data analysis

Education

CPC certification

CCS certification

Tools

Azure

Databricks

Job description

Ingenium Talent is partnering with a Kentucky-based healthcare analytics firm to recruit a full-time Clinical Data Architect. This role focuses on developing and maintaining clinical coding frameworks (ICD-10-CM/PCS, CPT, HCPCS) and scalable data structures to support reporting and advanced analytics.

Remote work is allowed from anywhere in the United States, preferably in EST or CST, with collaboration across data science, engineering, and clinical teams.