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How much do health informatics internship jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for health informatics internship in Michigan is $13.55, according to ZipRecruiter salary data. Most workers in this role earn between $10.91 and $15.29 per hour, depending on experience, location, and employer.

What are some typical projects or tasks assigned to interns during a Health Informatics Internship?

During a Health Informatics Internship, interns often work on projects such as analyzing healthcare data sets, assisting in the implementation or optimization of electronic health record (EHR) systems, and supporting data quality improvement initiatives. They may also be involved in creating data visualizations, conducting workflow assessments, or helping ensure compliance with data privacy regulations. Interns frequently collaborate with IT professionals, healthcare providers, and data analysts, gaining hands-on experience in both technical and clinical environments.

What is a Health Informatics Internship?

A Health Informatics Internship is a temporary position that allows students or recent graduates to gain practical experience in the field of health informatics. Interns typically work under the supervision of experienced professionals to learn about managing healthcare data, implementing electronic health records, and supporting technology solutions in clinical settings. The internship provides hands-on exposure to both the technical and administrative aspects of healthcare information systems. It is a valuable opportunity to apply classroom knowledge to real-world scenarios and build skills needed for a career in health informatics.

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

To thrive as a Health Informatics Intern, you need a foundational understanding of healthcare systems, data analysis, and informatics principles, typically supported by coursework in health informatics or related fields. Familiarity with electronic health records (EHRs), data management tools, and programming languages such as SQL or Python is often expected. Strong attention to detail, problem-solving abilities, and effective communication skills help interns collaborate with diverse teams and adapt quickly to new technologies. These competencies are essential for supporting data-driven healthcare improvements and ensuring the seamless integration of technology in clinical environments.

What Are Health Informatics Internship Opportunities?

Health informatics, also called health information systems, utilizes software and applications to compile, organize, and analyze health records to improve patient care. Students in health informatics programs must complete a health informatics internship before they graduate. Because health informatics is such a diverse field, your job duties depend on the discipline you pursue. You may work in applications, record management, research, medical decision support, or engineering. As a student intern, you may be assigned to administrative duties, entering data and processing documents, while shadowing professionals in the field. You may also focus on machine learning and other emerging technologies used in the clinical setting.

More about Health Informatics Internship jobs
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What are popular job titles related to Health Informatics Internship jobs in Michigan? For Health Informatics Internship jobs in Michigan, the most frequently searched job titles are:
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Health Informatics Internship jobs near you
Infographic showing various Health Informatics Internship job openings in Michigan as of June 2026, with employment types broken down into 5% As Needed, 2% Full Time, 69% Part Time, 23% Contract, and 1% Nights. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $28,181 per year, or $13.5 per hour.
Contingent Summer Research Analyst Intern

Contingent Summer Research Analyst Intern

Arbor Research Collaborative for Health

Ann Arbor, MI • Remote

$27/hr

Full-time

Posted 10 days ago

Job description

About the Project

The CKD study uses 5 years of structured EHR data from a large private nephrology practice with over 50,000 patients. The study aims to:

  • Build standardized, analysis-ready analytic files (SAFs) spanning 2021–2025
  • Assess feasibility of longitudinal data elements (labs, prescriptions, disease history)
  • Characterize CD patients using contemporary clinical and treatment data
  • Evaluate the availability of specific variables (imaging, genetics, family history) in unstructured clinical records

The intern will be embedded in an active project team that includes biostatisticians, epidemiologists, data scientists, and clinical nephrologists, and will contribute to analytic work from day one.

Key Responsibilities
  • Contribute to construction and QC of longitudinal electronic health record (EHR) analytic files using structured data
  • Conduct descriptive analyses of patient demographics, lab values, medication use, and clinical characteristics
  • Summarize data availability, follow-up patterns, and measurement frequency across CKD subgroups
  • Support feasibility assessments by generating counts, proportions, and distributional summaries
  • Produce clean, well-documented analytic code and contribute to draft tables and figures
  • Participate in biweekly internal team meetings and client meetings, and contribute to written deliverables
Qualifications

Required:

  • Currently enrolled in a graduate program (MPH, MS, PhD, or equivalent) in biostatistics, epidemiology, data science, health informatics, or a related field
  • Proficiency in Python, R, or SAS for data manipulation and descriptive analysis
  • Comfort working with big data – large, messy, real-world datasets
  • Strong attention to detail and ability to write clean, reproducible, well-commented code
  • Ability to work independently with remote supervision
  • Comfort using AI-assisted coding tools (e.g., Claude, GitHub Copilot)

Preferred:

  • Familiarity with EHR data or claims-based data
  • Experience with longitudinal data structures (e.g., repeated lab measurements, time-to-event)
  • Experience with version control (Git)
Position Details
  • Duration: approximately July 1 – August 29, 2026 (flexible start; contingent on contract execution)
  • Hours: full-time (~40 hrs/week) or near full-time
  • Location: fully remote; no travel required
  • Compensation: paid internship (rate commensurate with experience)
  • Supervisor: Brian Bieber, MS, Research Scientist, Data Science
How to Apply

Submit a CV and a brief cover letter (1 page max) describing your relevant experience and availability. Applications will be reviewed on a rolling basis — early submission is strongly encouraged given the July start date.

Pay

$27 USD per hour

Apply