1

Internship Health Informatics Analyst Jobs in St Louis, MO

Actuarial Analyst

Saint Louis, MO · On-site

$66K - $99K/yr

Strong academic achievement and demonstrated success in academic, extracurricular, internship ... Demonstrated teamwork and leadership abilities and an interest in contributing to the healthcare ...

Actuarial Analyst

Saint Louis, MO · On-site

$66K - $99K/yr

Strong academic achievement and demonstrated success in academic, extracurricular, internship ... Demonstrated teamwork and leadership abilities and an interest in contributing to the healthcare ...

Will act as matrix team Health IT subject matter expert to both internal and external stakeholders ... informatics team, EHR Manager and analyst to ensure patient safety gaps are identified as it ...

Will act as matrix team Health IT subject matter expert to both internal and external stakeholders ... informatics team, EHR Manager and analyst to ensure patient safety gaps are identified as it ...

next page

Showing results 1-20

Internship Health Informatics Analyst information

See St Louis, MO salary details

$41.3K

$83.2K

$121.5K

How much do internship health informatics analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for internship health informatics analyst in St. Louis, MO is $83,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $97,200.00 per year, depending on experience, location, and employer.

What is an internship health informatics analyst?

An Internship Health Informatics Analyst is a student or recent graduate who assists healthcare organizations in managing and analyzing health data using information technology. Their role typically involves supporting projects related to electronic health records, data quality improvement, and healthcare analytics. Interns in this position gain hands-on experience with health IT systems, work alongside experienced informatics professionals, and contribute to improving patient care through better data management. This internship is ideal for those interested in the intersection of healthcare, data science, and information technology.

What are the key skills and qualifications needed to thrive as an internship health informatics analyst?

To thrive as an Internship Health Informatics Analyst, you need a basic understanding of healthcare systems, data analysis, and informatics concepts, often supported by coursework in health informatics, public health, or computer science. Familiarity with electronic health record (EHR) systems, data visualization tools like Tableau, and spreadsheet software such as Excel is typically expected. Strong attention to detail, problem-solving skills, and effective communication are essential soft skills for collaborating with healthcare professionals and interpreting complex data. These skills are crucial for ensuring accurate data analysis, supporting clinical decision-making, and contributing to process improvements in healthcare settings.

What types of projects can an internship health informatics analyst expect to work on during their internship?

As an Internship Health Informatics Analyst, you can expect to contribute to projects involving the collection, analysis, and interpretation of healthcare data to improve clinical workflows, patient outcomes, or operational efficiency. Typical projects may include supporting electronic health record (EHR) optimization, assisting with data quality audits, helping implement new digital health tools, or preparing reports for clinical and administrative stakeholders. You'll often collaborate with IT professionals, clinicians, and data analysts, gaining exposure to both technical and clinical aspects of healthcare. This hands-on experience helps build foundational skills for a career in health informatics.

What is the difference between Internship Health Informatics Analyst vs Health Informatics Specialist?

AspectInternship Health Informatics AnalystHealth Informatics Specialist
CredentialsTypically pursuing or recent graduate with relevant courseworkUsually requires a bachelor's or master's degree in health informatics or related field
Work EnvironmentInternship setting, often in hospitals, clinics, or healthcare IT companiesFull-time professional role in healthcare organizations or IT firms
Employer & Industry UsageHospitals, clinics, healthcare startups, and academic institutionsHospitals, health systems, government agencies, and health IT companies

In summary, an Internship Health Informatics Analyst is an entry-level position aimed at gaining experience, while a Health Informatics Specialist is a full-time professional role requiring more experience and credentials. The internship provides foundational exposure, whereas the specialist role involves applying expertise to improve healthcare IT systems.

What are the most commonly searched types of Health Informatics Analyst jobs in St. Louis, MO?

The most popular types of Health Informatics Analyst jobs in St. Louis, MO are:

What cities near St. Louis, MO are hiring for Internship Health Informatics Analyst jobs?

Cities near St. Louis, MO with the most Internship Health Informatics Analyst job openings:

Infographic showing various Internship Health Informatics Analyst job openings in St. Louis, MO as of August 2026, with employment types broken down into 3% Internship, 79% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% In-person, 5% Hybrid, and 11% Remote job distribution, with an average salary of $83,232 per year, or $40 per hour.

Part-time Faculty - Health Data Science & AI

Saint Louis University

Saint Louis, MO • On-site

$57K - $57K/yr

Part-time

Re-posted 26 days ago


Saint Louis University rating

8.9

Company rating: 8.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

35th of 628 rated colleges and universities


Job description

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation's oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service.
Adjunct Assistant/Associate Professor - Health Data Science and Artificial Intelligence Applications in Medicine
Department of Health and Clinical Outcomes Research
Saint Louis University School of Medicine
Position Summary
The Department of Health and Clinical Outcomes Research at Saint Louis University School of Medicine invites applications for Adjunct Assistant or Associate Professor positions to teach graduate-level courses and mentor students in applied health data science and artificial intelligence in medicine.
Primary Responsibilities
Adjunct faculty will teach one or more of the following courses or related electives within the Department's data science and AI curriculum:
  • Privacy, Ethics, Regulation & Policy
  • Introduction to Artificial Intelligence
  • Predictive Modeling and Machine Learning
  • Image Processing and Deep Learning
  • Bioinformatics & Biomedical / Clinical Data Analysis Natural Language Processing and Large Language Models
  • Reinforcement Learning for Clinical Decision Making
  • Telehealth & Telemedicine
  • AI for Precision Medicine & Genomics & Diagnostics
  • Research in Medicine

Additional responsibilities include:
  • Develop and deliver engaging, practice-based course materials.
  • Mentoring students on applied research and analytics projects using real-world datasets.
  • Collaborating with program leadership to ensure content quality, alignment with learning objectives, and current best practices in AI and health data analytics.
  • Participating in departmental meetings or student events, as appropriate for adjunct appointments.

Qualifications
Required:
  • Ph.D. or equivalent terminal degree in Health Data Science, Biomedical Informatics, Computer Science, Biostatistics, or a related field.
  • Demonstrated expertise in one or more areas of artificial intelligence, data science, or computational health analytics.
  • Proficiency with relevant tools and languages (e.g., Python, R, SQL, TensorFlow, PyTorch, SAS).
  • Strong communication skills and a commitment to high-quality, student-centered graduate teaching.

Preferred:
  • Experience teaching graduate courses in AI, data science, or health informatics.
  • Applied or research experience involving AI deployment in healthcare, biomedical, or clinical contexts.
  • Familiarity with regulatory, ethical, and equity considerations in digital health and AI.
  • Record of scholarly or professional contributions in data-driven healthcare innovation.

Appointment Details
  • Type: Adjunct, non-tenure track
  • Rank: Assistant or Associate Professor (commensurate with qualifications)
  • Location: Saint Louis University School of Medicine (in-person, hybrid, or online options available)
  • Start Date: Ongoing recruitment for upcoming academic terms

Application Instructions
Interested applicants should submit:
  • A cover letter outlining teaching interests and relevant experience
  • Curriculum vitae (CV)
  • Contact information for three professional references

Applications will be reviewed on a rolling basis until positions are filled.
Function
Faculty - Adjunct
Scheduled Weekly Hours:
20
Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.

What Saint Louis University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom