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Health Informatics Professor Jobs in Missouri (NOW HIRING)

... Informatics and Artificial Intelligence (NeuroAI) lab under Dr. Ganesh Chand, Assistant Professor ... The candidate will have the opportunity to work on "big data" studies in health and diseases ...

Pediatric Hospitalist

Kansas City, MO · On-site

$185K - $235K/yr

As a leader in children's health, we engage in meaningful programs and partnerships throughout the ... Professor level with strong clinical skills and an interest in academic medicine. The candidate ...

Pediatric Hospitalist

Kansas City, MO · On-site

$185K - $236K/yr

As a leader in children's health, we engage in meaningful programs and partnerships throughout the ... Professor level with strong clinical skills and an interest in academic medicine. The candidate ...

As a leader in children's health, we engage in meaningful programs and partnerships throughout the ... Professor level with strong clinical skills and an interest in academic medicine. The candidate ...

Health Informatics Professor information

See Missouri salary details

$54.4K

$107.7K

$177.3K

How much do health informatics professor jobs pay per year?

As of Jul 5, 2026, the average yearly pay for health informatics professor in Missouri is $107,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,600.00 and $114,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Health Informatics Professor position, and why are they important?

To thrive as a Health Informatics Professor, you need advanced knowledge of health informatics, data analytics, and healthcare systems, typically supported by a Ph.D. or doctorate in health informatics, biomedical informatics, or a related field. Competence in using health information systems (EHRs), statistical software (such as SAS, R, or SPSS), and familiarity with industry standards like HL7 or HIPAA is often required. Strong communication, mentorship, and critical thinking skills help in effective teaching, curriculum development, and research collaboration. These skills are vital for preparing students to address real-world healthcare challenges through informatics and for contributing to academic and industry advancements.

What is a Health Informatics Professor job?

A Health Informatics Professor is an academic professional who teaches and conducts research in the field of health informatics. They educate students on topics like electronic health records, data analytics, and healthcare technology. Their work often involves developing curricula, publishing research, and collaborating with healthcare institutions to advance digital health innovations. Many also provide mentorship to students pursuing careers in health informatics.

What are some common responsibilities of a Health Informatics Professor beyond classroom teaching?

In addition to delivering lectures and developing course materials, Health Informatics Professors often conduct original research in areas such as biomedical data analytics, health IT implementation, or healthcare data privacy. They also advise and mentor students, supervise graduate thesis work, and may help establish partnerships with healthcare organizations for student internships or collaborative projects. Professors in this field frequently participate in academic committees, contribute to curriculum design, and publish findings in peer-reviewed journals. These responsibilities help advance both the academic institution and the broader health informatics discipline.

What are the most commonly searched types of Health Informatics Professor jobs in Missouri? The most popular types of Health Informatics Professor jobs in Missouri are:
What are popular job titles related to Health Informatics Professor jobs in Missouri? For Health Informatics Professor jobs in Missouri, the most frequently searched job titles are:
Infographic showing various Health Informatics Professor job openings in Missouri as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $107,675 per year, or $51.8 per hour.
Part-time Faculty - Health Data Science & AI

Part-time Faculty - Health Data Science & AI

Saint Louis University

Saint Louis, MO • On-site

$57K - $57K/yr

Part-time

Posted 27 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

28th of 544 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.

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