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Nursing Informatics Intern Jobs (NOW HIRING)

Point C

OR

Point C is seeking a Healthcare Informatics Intern to join our Clinical and Utilization Management ... You'll work alongside nurses, clinical staff, and operational leaders to analyze healthcare data ...

Point C

Healthcare Informatics AI Intern

$20 - $25/hr

Point C is seeking a Healthcare Informatics Intern to join our Clinical and Utilization Management ... You'll work alongside nurses, clinical staff, and operational leaders to analyze healthcare data ...

Claim Health

Content Marketing Intern

New York, NY · On-site

$16.50 - $22/hr

... skilled nursing, home care, hospice) is one of the fastest growing verticals within healthcare. ... Turn dense industry data and informatics into narratives that actually land * Draft website copy ...

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How much do nursing informatics intern jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for nursing informatics intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Nursing Informatics Intern, and why are they important?

To thrive as a Nursing Informatics Intern, you need a foundational understanding of nursing practices combined with knowledge of health informatics concepts, typically gained through formal education or ongoing coursework in nursing and informatics. Familiarity with electronic health records (EHRs), clinical documentation systems, and data analysis tools is often required. Strong analytical thinking, communication skills, and adaptability help you bridge the gap between clinical teams and IT professionals. These skills are crucial to effectively support the integration of technology in healthcare, leading to improved patient outcomes and workflow efficiency.

What are Nursing Informatics Interns?

Nursing Informatics Interns are students or early-career professionals who support healthcare organizations by integrating nursing science, information technology, and data management to improve patient care. They assist with projects involving electronic health records (EHRs), data analysis, workflow optimization, and the implementation of new technologies. These interns work under the supervision of experienced nursing informatics specialists and gain hands-on experience with health informatics systems. Their role is crucial in helping bridge the gap between clinical practice and IT solutions, ultimately enhancing patient outcomes and healthcare efficiency.

What are some common challenges faced by Nursing Informatics Interns when integrating new technology into clinical workflows?

Nursing Informatics Interns often encounter challenges such as resistance to change from clinical staff, difficulty aligning technical solutions with existing nursing processes, and ensuring data accuracy during system transitions. Navigating these challenges requires strong communication skills, a willingness to learn clinical practices, and the ability to collaborate closely with both IT teams and front-line nurses. Interns can expect to participate in user training sessions, gather feedback, and assist with troubleshooting to help facilitate smooth technology adoption.
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Nursing Informatics Intern jobs near you
Infographic showing various Nursing Informatics Intern job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 8% Part Time, and 5% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.
Healthcare Informatics AI Intern

Healthcare Informatics AI Intern

Point C

OR

Other

Posted 14 days ago

Job description

Point C is seeking a Healthcare Informatics Intern to join our Clinical and Utilization Management team this summer/fall. You'll work alongside nurses, clinical staff, and operational leaders to analyze healthcare data, surface meaningful insights, and help identify opportunities to improve clinical and utilization management processes through data and emerging AI tools. This is not a shadow-and-observe internship. You'll have real ownership, real data, and direct exposure to clinical and operational leadership. A strong candidate brings both clinical or healthcare knowledge and comfort working with data - this role is primarily health informatics-focused, with a meaningful AI component spanning data retrieval, trend identification, tool-building, and documentation. The internship is set for 10-12 weeks but may be extended based on business needs.

Primary Responsibilities:

  • Partner with clinical and utilization management teams to understand workflows, data needs, and areas where analysis can improve decision-making and outcomes
  • Use AI tools to accelerate data pulls and surface patterns across large clinical datasets
  • Analyze AI findings to flag trends or anomalies that may not be immediately visible through manual review
  • Leverage AI to support documentation tasks such as drafting summaries, structuring findings, and generating repeatable templates for clinical and operational use
  • Pull, clean, and analyze healthcare data including claims, date of service, provider specialty, utilization patterns, and clinical indicators
  • Identify trends and draw actionable insights from clinical and utilization data to support care management, cost containment, and quality improvement efforts
  • Support the clinical team in understanding benefit structures, plan designs, and how they interact with utilization and outcomes data
  • Identify opportunities where AI or automation could streamline clinical review processes, flag outliers, or reduce manual workload for clinical staff
  • Build lightweight data tools, dashboards, or summary reports to make clinical and utilization data more accessible and actionable
  • Document findings, methodologies, and recommendations clearly so insights are repeatable and usable beyond the internship
  • Present data findings and recommendations to clinical and operational leadership in a clear, accessible format

Qualifications:

  • Currently a Senior or Graduate student enrolled in a degree program in Health Informatics, Nursing, Clinical Health Sciences, Public Health, Healthcare Administration, or a related field
  • Clinical or medical knowledge sufficient to understand healthcare terminology, diagnosis and procedure codes, provider specialties, and utilization management concepts
  • Experience working with or analyzing healthcare data, including claims data, date of service, provider information, or clinical documentation
  • Strong analytical skills with the ability to draw meaningful insights from complex datasets
  • Hands-on familiarity with AI tools (such as ChatGPT, Claude, Copilot, or similar) and demonstrated ability to apply them practically
  • Curiosity about how AI can improve healthcare operations - you don't need to be an AI engineer, but you should be someone who experiments, asks "what if we used AI for this?" and follows through
  • Familiarity with data tools such as Excel, SQL, Tableau, Power BI, or similar platforms
  • Ability to communicate data findings clearly to both clinical and non-clinical audiences
  • Ability to work independently, manage ambiguity, and prioritize across multiple projects
  • Experience with Python, R, or other data analysis languages is a plus
  • Prior exposure to utilization management, care management, or managed care environments is a plus

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