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Online Health Informatics Professor information

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$58K

$114.8K

$189K

How much do online health informatics professor jobs pay per year?

As of Jul 12, 2026, the average yearly pay for online health informatics professor in the United States is $114,792.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $121,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Online Health Informatics Professors, and how can they be addressed?

Online Health Informatics Professors often encounter challenges such as keeping students engaged in a virtual environment, staying current with rapidly evolving health IT standards, and effectively assessing student mastery of complex topics. To address these, professors can utilize interactive teaching tools, participate in ongoing professional development, and foster open communication through regular virtual office hours. Collaborating with industry partners and academic peers also helps ensure that course content remains relevant and practical.

What is the difference between Online Health Informatics Professor vs Online Healthcare Data Analyst?

AspectOnline Health Informatics ProfessorOnline Healthcare Data Analyst
Required CredentialsMaster's or PhD in Health Informatics, Education credentialsBachelor's or Master's in Data Science, Healthcare, or related fields
Work EnvironmentOnline teaching platforms, universities, academic institutionsRemote or on-site healthcare organizations, data analysis firms
Employer & Industry UsageEducational institutions, universities, online programsHospitals, healthcare companies, research organizations
Common Search & ComparisonYesNo

The Online Health Informatics Professor primarily focuses on teaching and research within academic settings, requiring advanced degrees and educational credentials. In contrast, the Online Healthcare Data Analyst analyzes healthcare data to improve patient outcomes and operational efficiency, often with a background in data science. Both roles are integral to the healthcare industry but serve different functions and work environments.

What does an Online Health Informatics Professor do?

An Online Health Informatics Professor teaches courses related to the intersection of healthcare and information technology, typically through virtual classrooms. They design curricula, deliver lectures, facilitate discussions, and assess student performance in subjects like electronic health records, data analytics, and healthcare systems. In addition to teaching, they may conduct research and stay updated on the latest trends in health informatics to ensure their instruction is current and relevant. Professors often mentor students and guide them in applying informatics concepts to real-world healthcare challenges.

What are the key skills and qualifications needed to thrive as an Online Health Informatics Professor, and why are they important?

To thrive as an Online Health Informatics Professor, you need advanced knowledge in health informatics, a relevant graduate degree (often a PhD or Master's), and teaching experience in higher education. Familiarity with learning management systems (LMS), health information systems, and certifications like Certified Health Informatics Systems Professional (CHISP) are commonly required. Exceptional communication, digital literacy, and the ability to engage and motivate remote learners are essential soft skills. These qualifications and skills are crucial for effectively delivering complex content, supporting diverse student needs, and advancing the field of health informatics.
What cities are hiring for Online Health Informatics Professor jobs? Cities with the most Online Health Informatics Professor job openings:
What are the most commonly searched types of Health Informatics Professor jobs? The most popular types of Health Informatics Professor jobs are:
What states have the most Online Health Informatics Professor jobs? States with the most job openings for Online Health Informatics Professor jobs include:
Online Health Informatics Professor jobs near you
Adjunct Instructor in Clinical Data Science and Machine Learning

Adjunct Instructor in Clinical Data Science and Machine Learning

Brandeis University

Brandeis, CA • On-site

$6.5K/mo

Part-time

Re-posted 3 days ago

Job description

Brandeis University's Online Health Informatics Program is seeking an Adjunct Faculty member for RHIN 151 Clinical Data Science and Machine Learning for the Fall-1 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Health Informatics.

This course will review methods for preprocessing clinical data, handling censoring and missingness, model development and validation in healthcare contexts, calibration, subgroup fairness, and clinical utility assessment.It will provide a comprehensive understanding of how clinical data science and machine learning impact healthcare data in addition to guidance on programming methods to process data. Basic programming skills (Python or R) and knowledge of statistics are strongly recommended prior to enrollment in the course.

Core Course Responsibilities Summary

  • Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms.

  • Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation.

  • Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.

  • Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term.

Qualifications:

  • Required:

    • Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Health Informatics, or a related field.

    • Minimum of 5 years professional experience in an analytics or leadership role with a focus on machine learning and using data science to improve healthcare outcomes

    • Strong knowledge of statistical analysis, programming languages (e.g. Python, R), and data management

    • At least 1 year of teaching or training experience (preferably online/asynchronous)

    • Experience with online instruction

    • Excellent communication and teaching skills in an online learning environment.

  • Preferred:

    • Prior online teaching experience at the graduate level

    • Knowledge of global learner personas and culturally responsive pedagogy

    • Familiarity with Moodle LMS and digital authoring tools (e.g., H5P)

Interested candidates should submit:

A cover letter highlighting relevant qualifications and teaching experience.

A current CV or resume.

Contact information for three professional references.

Application review begins 5/27/2026 though we will continue to accept submissions on an ongoing basis.

This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.

Compensation for this position is $6573.15

Pay Range Disclosure

The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.

Equal Opportunity Statement

Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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