Clinical Informaticist

3 months ago
Full-time
Senior
Data Science and Analytics
Aledade

Aledade

Aledade collaborates with independent practices, health centers, and clinics to establish and manage Accountable Care Organizations (ACOs) that prioritize primary care, enabling physicians to enhance patient care while maintaining their independence in...

Health Care Providers & Services
1K-5K
Founded 2014
$686M raised

Description

  • Identify, analyze, and resolve clinical data quality issues across a multi-vendor EHR ecosystem.
  • Investigate root causes of data discrepancies at the interface, configuration, and source system levels.
  • Produce structured findings and actionable recommendations for engineering and integration teams.
  • Map clinical data elements to standardized code systems and validate mapping accuracy across clinical domains.
  • Support the development and maintenance of terminology mapping capabilities, including rule-based and AI-assisted approaches.
  • Ensure clinical data completeness and accuracy throughout quality measure reporting pipelines.
  • Validate measure logic and code sets against published specifications.
  • Identify data gaps affecting measure performance and collaborate cross-functionally to resolve them.
  • 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 on data governance, vendor engagement, and process improvement.

Requirements

  • Bachelor’s or Master’s degree in Nursing, Medical/Health Informatics, Bioinformatics, or a related field.
  • 5+ years of experience in clinical informatics, healthcare data analysis, or health information management.
  • Strong skills in querying, analyzing, and validating clinical data; Databricks/Spark SQL experience is a plus.
  • Solid understanding of 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 structured clinical exchange formats.
  • Experience with quality measure specifications such as eCQM, MIPS, MCQM, and HEDIS.
  • Demonstrated ability to investigate complex data issues, identify root causes, and communicate clearly to technical and non-technical stakeholders.
  • Experience with cloud-based data platforms such as Databricks, AWS, or Snowflake for large-scale clinical data analysis and management (preferred).
  • Familiarity with FHIR resources and modern healthcare interoperability standards (preferred).
  • Understanding of Health Information Exchanges (HIE) or TEFCA data flows (preferred).
  • Knowledge of healthcare data governance, provenance tracking, and regulatory requirements for clinical data use (preferred).
  • Understanding of population health management and the data infrastructure that supports it (preferred).
  • Certification in clinical informatics or health information management, such as CPHIMS or CAHIMS, is advantageous.
  • Experience applying machine learning or AI technologies within healthcare settings (preferred).

Benefits

  • Flexible work schedules and remote work availability for many roles.
  • Health, dental, and vision insurance paid up to 80% for employees, dependents, and domestic partners.
  • 21 days of PTO in the first year, plus two paid volunteer days and 11 paid holidays.
  • 12 weeks of paid parental leave for all new parents.
  • Six weeks of paid sabbatical after six years of service.
  • Educational Assistant Program and Clinical Employee Reimbursement Program.
  • 401(k) with up to 4% match.
  • Stock options.

Interested in this position?

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