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Brandeis University

Adjunct Instructor in Digital Health Equity and Social Determinants of Health

Posted 4 months ago
2-5 years experience
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AI Summary

The instructor is responsible for the timely rollout and facilitation of an asynchronous online course on Digital Health Equity. Key duties include hosting introductory sessions, facilitating academic forums, and providing rubric-based feedback to students.

Brandeis University’s Online Health Informatics Program is seeking an Adjunct Faculty member for RHIN 155 Digital Health Equity and Social Determinants of Health (SDOH) for the Fall-2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Health Informatics.

This course will highlight how health technologies can influence access to and  utilization of healthcare. This course will explore the impacts of the integration of SDOH data into product and analytic design, equity‑focused evaluation methods, bias identification and mitigation, and inclusive design practices for underserved populations. 

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 Health Informatics, Public Health, Health Policy or a related field.

    • Professional experience in roles within diverse industries or sectors, with a focus on healthcare technology evaluation and assessment, specifically for those in underserved populations

    • Strong knowledge of social determinants of health and barriers for marginalized populations

    • 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 June 1, 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 positon 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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