Job Posting

Clinical SME / Nurse Informaticist

Remote, Hybrid, US-Based

Role overview

Zyter is hiring a Clinical Subject Matter Expert (SME) / Nurse Informaticist to guide an agentic AI platform being piloted with a large integrated healthcare system.

In this role, you will serve as the clinical voice on the team, defining what constitutes critical and complete clinical information, validating AI-generated outputs, and ensuring that workflows are safe, practical, and useful for clinicians.

Key responsibilities

Define clinical logic

  • Define criticality rules for clinical alerts, including which laboratory results, imaging findings, and consult events require follow-up and what constitutes evidence that follow-up has occurred.
  • Build specialty referral pathway models with client referral teams, including prerequisites such as tests, labs, procedures, and documentation required by each specialty.
  • Translate clinical policies and workflows into clear requirements and acceptance criteria for engineering teams.
  • Lead detailed workflow and requirements sessions with client clinical and operational stakeholders.
  • Help design appropriate clinician acceptance, override, and escalation processes for AI-enabled workflows.
  • Identify workflow variations across markets, products, lines of business, and regulatory requirements.
  • Validate configured workflows with client clinical stakeholders.
  • Support clinical user acceptance testing (UAT), scenario development, implementation readiness, and go-live activities.
  • Ensure clinical workflows remain understandable, traceable, and practical for end users.

Validate AI outputs

  • Review AI-generated classifications, summaries, and recommendations against medical records, and label cases to develop testing and evaluation datasets.
  • Collaborate with the team to measure accuracy, including sensitivity, precision, false positives and negatives, and agreement between reviewers.
  • Identify patient safety risks, edge cases, and limitations, and recommend appropriate thresholds by specialty and facility.
  • Support shadow-mode operations, where AI outputs are compared with actual human workflow outcomes before broader implementation.

Bridge clinicians and engineers

  • Lead discovery sessions and interviews with clinicians, nurses, referral coordinators, and scheduling staff.
  • Contribute clinical insights to service blueprints, journey maps, and process gap analyses.
  • Help design clinician review queues and case views that align with real-world clinical workflows.
  • Develop training materials, standard operating procedures, and quick reference guides, and conduct office hours for pilot users.
  • Help evaluate pilot outcomes, including time savings, quality, safety, and user acceptance, to inform end-of-pilot decisions.

Required qualifications

  • Active, unrestricted Registered Nurse (RN) license in a U.S. state.
  • Bachelor of Science in Nursing (BSN).
  • 8+ years of clinical experience, including 3+ years in nursing or clinical informatics.
  • Hands-on experience with electronic health record (EHR) workflows, including clinical alerts and notifications, results management, orders, and consults.
  • Working knowledge of referral and care coordination processes across specialties and external providers.
  • Experience translating clinical workflows into requirements and working directly with software or IT teams.
  • Strong understanding of patient safety, quality improvement, and HIPAA privacy requirements.
  • Excellent written and verbal communication skills, including experience training clinicians and presenting to senior leadership.
  • U.S. work authorization and residence in the United States.

Preferred qualifications

  • Master's degree in Nursing Informatics, Health Informatics, or a related field.
  • ANCC Informatics Nursing certification (RN-BC) or similar credential.
  • Experience with Epic, Oracle Health, or another major EHR, including clinical alert or decision support configuration.
  • Experience validating or evaluating AI, natural language processing (NLP), or clinical decision support tools.
  • Background working within a large integrated healthcare system or federal healthcare program.
  • Experience with service design, journey mapping, or Lean/Six Sigma process improvement methodologies.
  • Familiarity with Agile development teams and tools such as Jira and Confluence.