Clinical Data Architect

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

***At this time, Ingenium Talent is not able to work with any third-party or corp-to-corp partnerships. All qualified candidates must be eligible to work in the United States without sponsorship***

Ingenium Talent, a Louisville KY based recruiting firm, has recently partnered with a Kentucky-based healthcare analytics firm in their search for a full-time Clinical Data Architect. Our client is a healthcare analytics organization focused on using data-driven technology to improve clinical outcomes and advance healthcare decision-making. Through sophisticated analytical tools and predictive modeling, the company transforms complex healthcare information into actionable insights. The selected candidate will contribute to the development and expansion of clinical data solutions, working collaboratively with data scientists, software engineers, business analysts, and clinical experts to convert medical concepts into accurate, standardized, and analytics-ready data structures.

This role is not required to be onsite and can be fully remote from anywhere in the United States, preferably in the Eastern or Central time zones.

The ideal professional will bring a strong understanding of medical classification and coding standards, combined with analytical expertise and technical proficiency. This individual will lead efforts to develop, refine, and maintain clinical coding frameworks that ensure consistency, accuracy, and scalability across data products. The work will directly support healthcare reporting, advanced analytics, and predictive modeling, helping the organization derive meaningful insights from clinical data and make more informed decisions that benefit patient care.

Responsibilities and Duties

• Partner with clinical, analytics, and engineering teams to define and document business and data requirements
• Design, develop, and maintain clinical coding frameworks and repositories (e.g., ICD-10, CPT, HCPCS, DRG groupings)
• Translate complex clinical concepts into scalable data logic and product features
• Collaborate with Data Architects and Engineers to support the design and optimization of data pipelines
• Ensure the accuracy, completeness, and consistency of coded data across products
• Conduct exploratory data analysis to identify trends, inconsistencies, and opportunities for improvement
• Support product development through testing, validation, and quality assurance processes
• Recommend enhancements to improve data quality, usability, and clinical relevance
• Contribute to documentation, standards, and best practices for clinical data usage

Qualifications

• 5+ years of experience working with healthcare data, with a focus on analytics, coding, or data design
• Strong understanding of medical coding systems (ICD-10-CM/PCS, CPT, HCPCS); certification (e.g., CPC, CCS) preferred
• Proficiency in SQL and/or Python for data analysis and transformation
• Experience working with cloud-based data platforms (e.g., Azure, Databricks)
• Demonstrated ability to translate business and clinical requirements into technical solutions
• Strong analytical thinking and problem-solving skills
• Excellent documentation and communication skills
• Experience with data quality validation, testing, and QA processes
• Medical coding certification through AAPC/AIHMA preferred