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Clinical Informaticist

Job in Fargo, Cass County, North Dakota, 58126, USA
Listing for: Blue Cross Blue Shield of North Dakota
Full Time position
Listed on 2026-01-27
Job specializations:
  • Healthcare
    Health Informatics, Healthcare Management
Salary/Wage Range or Industry Benchmark: 80716 USD Yearly USD 80716.00 YEAR
Job Description & How to Apply Below

All About Us

You likely know us as an insurance company, but that’s just a portion of what we do. Hundreds of thousands of North Dakotans trust us to provide them with personalized service and unmatched access to care. It’s a mission we take seriously.

We also work with entities throughout the state to challenge the cost and complexity of health care in North Dakota. This uncompromising goal requires caring, innovative people who are ready and willing to help create a new level of health and well-being in North Dakota and beyond.

Work Environment

This position offers flexibility for remote, hybrid, or in-office work arrangements. We empower our employees to find a work style that is best for them.

This position is eligible for internal Blue Cross Blue Shield employees and external applications.

Pay Information
  • Pay Level: 025
  • FLSA Category:
    Exempt – Salary
  • Individual pay will be based on skills, experience, qualifications, location, internal equity, and other relevant factors
  • Opportunities for continued salary growth through a performance-based merit program
  • The estimated starting salary for this position is $80,716.23- $

At BCBSND, we’re committed to providing fair and equitable compensation. While the posted salary range reflects the full compensation range for this role, offers typically fall at or below the midpoint, and in alignment with internal equity and role expectations.

A Day in the Life

The Clinical Informaticist plays a pivotal role in advancing the organization’s clinical data strategy by enabling the effective use, exchange, and integration of health care data across systems. This role bridges clinical expertise with data analytics and technology to advance the payer’s clinical data enablement and interoperability initiatives. This role supports the design, implementation, and optimization of health information systems, ensuring that clinical data is actionable, high‑quality, and aligned with regulatory and value‑based care goals.

Your

Responsibilities Will Include
  • Collaborates with clinicians, data scientists, and IT teams to translate clinical workflows into system requirements and data models.
  • Ensures accurate mapping of clinical coding ontologies to support claims, risk adjustment, quality reporting, and interoperability.
  • Supports integration of Electronic Health Record (EHR) data, Health Information Exchange (HIE) feeds, and claims data into enterprise platforms.
  • Serves as a subject matter expert on clinical data standards and interoperability frameworks, as well as integration of clinical knowledge into payer‑driven transformation projects (e.g., value‑based care, alternative payment models, health equity).
  • Partners with analytics teams to develop actionable insights via dashboards, quality measure reports, and predictive models for utilization, cost, and outcomes.
  • Collaborates with technical and clinical teams to validate clinical data sets, identify and resolve data quality issues. Provides recommendations for improving the accuracy, completeness, and usability of clinical data from internal and external data sources.
  • Works with external stakeholders including providers, health systems and others to optimize care delivery for all members.
  • Provides informatics expertise for care management, quality management, population health management, utilization management, and disease management programs.
  • Identifies opportunities for closing care gaps, reducing avoidable admissions, and improving member engagement.
  • Supports clinical decision support tools and evidence‑based guideline implementation.
  • Participates in data governance and interoperability initiatives.
  • Ensures compliance with regulatory requirements. Supports audits and regulatory reporting by ensuring clinical data integrity.
  • Contributes to enterprise initiatives in artificial intelligence/machine learning, predictive analytics, and digital health tools that improve member outcomes.
  • Performs work under minimal supervision. Handles complex issues and problems and refers only the most complex issues to higher‑level staff.
  • Coaches and mentors department staff and collaborates with leadership to support strategic goals within the team.
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