Clinical Informaticist

Aledade; Austin (TX); On-site; USD 95,000 - 120,000; Full time

Job summary

Aledade is seeking a Clinical Informaticist to join our product management team in Austin, Texas. This role is critical as it ensures the clinical data sourced from various EHR systems is standardized and actionable for quality care programs. The ideal candidate will have significant experience in clinical informatics and the ability to resolve data quality issues.

In addition to managing data accuracy across multiple EHR platforms, the Clinical Informaticist will support quality measure programs, ensuring clinical data completeness. You will be involved in terminology mapping and serve as a subject matter expert for various cross-functional initiatives.

Qualifications

• 5+ years in clinical informatics or healthcare data analysis.
• Experience with standard Health Information Technology vocabularies.
• Familiarity with FHIR resources.

Responsibilities

• Analyze clinical data quality across EHR systems.
• Map clinical data to standardized code systems.
• Support quality measure programs and ensure data accuracy.
• Serve as a clinical expert for new data sources.

Skills

Data analysis

Clinical informatics

SQL

Healthcare data management

EHR systems

Data quality assurance

Clinical coding and terminology

Education

Bachelor’s or Master’s in Nursing/Medical Informatics/Bioinformatics

Tools

Databricks

AWS

Snowflake

Job description

As a clinical informaticist on the product management team, you will play a crucial role in ensuring that clinical data sourced from dozens of EHR systems and health information exchanges is accurate, standardized, and actionable. Working at the intersection of clinical knowledge and data engineering, you will collaborate with engineers, product managers, data scientists, and clinical operations teams to build and maintain Aledade's clinical data integration platform — the foundation for population health management, quality measure reporting, and value-based care programs serving thousands of primary care practices nationwide.

The ideal candidate brings deep clinical data fluency, an investigative mindset, and the ability to translate complex clinical concepts into precise data specifications. You will be responsible for validating data quality across vendor pipelines, mapping clinical data to standardized terminologies, supporting quality measure accuracy, and serving as the clinical subject matter expert for cross-functional initiatives including AI-assisted clinical data extraction.

Primary Duties

1. Identify, analyze, and resolve clinical data quality issues across Aledade's multi-vendor EHR ecosystem. Investigate root causes of data discrepancies at the interface, configuration, and source system level. Produce structured findings with actionable recommendations for engineering and integration teams.
2. Map clinical data elements to standardized code systems and validate mapping accuracy across clinical domains. Support the development and maintenance of Aledade's terminology mapping capabilities, including rule-based and AI-assisted approaches.
3. Support quality measure programs by ensuring clinical data completeness and accuracy throughout the reporting pipeline. Validate measure logic and code sets against published specifications. Identify data gaps impacting measure performance and collaborate cross-functionally to resolution.
4. Serve as the clinical subject matter expert for new data sources, AI-powered extraction, and interoperability initiatives. Provide clinical context to engineering, product, and operations teams for data governance, vendor engagement, and process improvement efforts.

Minimum Qualifications

• Bachelor’s or Master’s degree in Nursing, Medical/Health Informatics, Bioinformatics, or a related field.
• 5+ years in clinical informatics, healthcare data analysis, or health information management.
• Strong skills in querying, analyzing, and validating clinical data (experience with Databricks/Spark SQL a plus).
• Solid understanding and experience with standard Health Information Technology (HIT) vocabularies and terminologies.
• Hands‑on experience with one or more ambulatory Electronic Health Record (EHR) systems.
• Deep knowledge of C‑CDA/CCD document structure, HL7 standards, and how clinical data is represented in structured exchange formats.
• Experience with quality measure specifications (eCQM, MIPS, MCQM, HEDIS, etc) and understanding of how clinical data supports measure calculation.
• Demonstrated ability to investigate complex data issues, identify root causes, and communicate findings clearly to both technical and non‑technical stakeholders.

Preferred KSA's

• Experience with cloud‑based data platforms (Databricks, AWS, Snowflake) for large‑scale clinical data analysis and data management.
• Familiarity with FHIR resources and modern healthcare interoperability standards.
• Understanding of working with Health Information Exchanges (HIE) or TEFCA data flows.
• Knowledge of healthcare data governance and best practices in maintaining data integrity and security.
• Understanding of population health management and the data infrastructure that supports it.
• Certification in clinical informatics or health information management (e.g., CPHIMS, CAHIMS) is advantageous.
• Experience in applying machine learning or AI technologies within healthcare settings.
• Familiarity with healthcare data governance, provenance tracking, and regulatory requirements for clinical data use.

Physical Requirements

Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.

Aledade is committed to creating a diverse environment and is proud to be an equal opportunity employer. Employment policies and decisions at Aledade are based on merit, qualifications, performance and business needs. All qualified candidates will receive consideration for employment without regard to age, race, color, national origin, gender (including pregnancy, childbirth or medical conditions related to pregnancy or childbirth), gender identity or expression, religion, physical or mental disability, medical condition, legally protected genetic information, marital status, veteran status, or sexual orientation.

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