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No Experience Health Informatics Jobs (NOW HIRING)

Point C

OR

Point C is seeking a Healthcare Informatics Intern to join our Clinical and Utilization Management ... Experience working with or analyzing healthcare data, including claims data, date of service ...

Point C

Healthcare Informatics AI Intern

$20 - $25/hr

Point C is seeking a Healthcare Informatics Intern to join our Clinical and Utilization Management ... Experience working with or analyzing healthcare data, including claims data, date of service ...

CVS Health

Clinical Informatics Specialist

Tucson, AZ · On-site

$17 - $25.65/hr

... health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply ... The purpose of a Clinical Informatics Specialist (CIS or Medical Scribe) at Oak Street Health is to ...

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How much do no experience health informatics jobs pay per year?

As of Jul 9, 2026, the average yearly pay for no experience health informatics in the United States is $98,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $122,500.00 per year, depending on experience, location, and employer.

Can I get into health informatics without a degree?

Health informatics roles typically require at least a relevant degree such as health information management, computer science, or related fields, but some entry-level positions may accept candidates with certifications, technical skills, or relevant experience. Gaining knowledge of electronic health records (EHR) systems and data management tools can also improve job prospects without a formal degree.

How to work in healthcare with no experience?

Entering health informatics with no experience involves gaining relevant knowledge through online courses or certifications in healthcare systems and data management. Internships, volunteering, or entry-level positions can provide practical exposure, and developing skills in electronic health records (EHR) software and data analysis tools can improve employability.

Will health informatics be taken over by AI?

Health informatics professionals analyze and manage healthcare data, and AI tools are increasingly used to automate data processing and support decision-making. While AI can enhance efficiency and accuracy, human expertise remains essential for interpreting complex information, ensuring data quality, and maintaining ethical standards in healthcare environments.

How do I start a career in health informatics?

To start a career in health informatics, gaining a relevant degree such as a bachelor's or master's in health information management, health informatics, or a related field is essential. Developing skills in data analysis, electronic health records (EHR) systems, and understanding healthcare workflows can improve job prospects; certifications like Certified Health Data Analyst (CHDA) can also be beneficial.

What is a No Experience Health Informatics job?

A No Experience Health Informatics job is an entry-level role in the field of health informatics that does not require prior professional experience. These positions typically focus on tasks like data entry, system support, and assisting with electronic health records (EHR) management. Employers may seek candidates with educational backgrounds in health informatics, IT, or healthcare, but on-the-job training is often provided. Common job titles include Health Informatics Assistant, EHR Support Specialist, and Data Entry Clerk. These roles offer a great opportunity to gain hands-on experience and grow into more advanced informatics positions over time.

What are the key skills and qualifications needed to thrive in the No Experience Health Informatics position, and why are they important?

To excel in a no experience health informatics role, you typically need a foundational understanding of healthcare systems, basic data analysis, and proficiency with computers—often supported by a degree in health informatics, information technology, or a related field. Familiarity with electronic health records (EHRs), Microsoft Excel, and introductory data management tools is common, and certificates like the CompTIA IT Fundamentals or short health IT courses can be advantageous. Strong communication, attention to detail, and eagerness to learn help you work well with both clinical teams and technical staff. These abilities are essential because they enable you to adapt quickly, accurately manage health information, and collaborate effectively within healthcare environments.

What types of tasks can I expect to handle in an entry-level health informatics position with no prior experience?

In a no experience health informatics position, you may assist with data entry and maintenance of electronic health records, support user training, run basic reports, and help troubleshoot minor system issues under supervision. You might also collaborate with clinical and IT staff to streamline patient information flow or support quality improvement projects. Entry-level roles are designed to give you exposure to standard software and healthcare processes, providing a solid foundation for more advanced responsibilities as you learn. Many organizations encourage learning and growth, offering mentorship and opportunities for development on the job.

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No Experience Health Informatics jobs near you
Healthcare Informatics AI Intern

Healthcare Informatics AI Intern

Point C

OR

Other

Posted 13 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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