Nursing Informatics Specialist

Job Description

Nursing Informatics Specialist | Alignerr

The Tone:
This is an hourly contract role at Alignerr, located remotely. Alignerr partners with leading AI research teams and labs to develop and train advanced AI models. In this role, you will play a crucial part in bridging the gap between frontline nursing practice and sophisticated health information systems. Your primary objective will be to ensure that electronic health records and clinical data tools accurately reflect real-world nursing workflows, thereby supporting the delivery of safe, efficient, and high-quality patient care.

The TL;DR
• Role: Contract
• Type: 10–40 hours/week
• Location: Remote
• Pay: $35–$80 hourly
• Team: Potentially lead a team working on cutting-edge AI projects.
• Mission: To ensure electronic health records and clinical data tools accurately reflect real-world nursing workflows, thereby supporting the delivery of safe, efficient, and high-quality patient care.
• Tech Stack: Epic, Cerner

What You’ll Actually Do
• System Design: Collaborate with IT and technical teams to translate nursing workflows and clinical needs into effective informatics and EHR system designs.
• Performance Improvement: Evaluate clinical and system data to identify trends, pinpoint performance gaps, and discover opportunities to enhance patient care and documentation quality.
• Implementation Support: Recommend and support the implementation of enhancements to health information systems to improve care efficiency, usability, and clinical outcomes.
• Workflow Accuracy: Ensure that electronic health records and clinical data tools accurately reflect real-world nursing workflows.

The Must-Haves
• Background: A Registered Nurse (RN) or an individual with an equivalent clinical background, possessing experience in clinical informatics or health IT.
• Experience: Hands-on experience working with Electronic Health Record (EHR) systems such as Epic or Cerner, along with familiarity with clinical documentation workflows.
• Skills: Strong ability to analyze both clinical and system data and effectively translate these insights into actionable system or workflow improvements.
• Bonus: Prior experience with data annotation, data quality assurance, or evaluation systems.