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Online Course Developer – RHIN XXX: Generative AI in Clinical Decision Support

United States · Job Posted February 20, 2026
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Job Description

Brandeis University’s Rabb School of Continuing Studies is seeking a skilled online course developer to design and build a new three credit asynchronous online course titled: RHIN XXX: Generative AI in Clinical Decision Support. This role is for an experienced academic and curriculum strategist to serve as an Online Course Developer within Brandeis Online’s graduate program. The developer will design and build asynchronous, instructor-facilitated online courses aligned with institutional learning outcomes, accreditation standards, and workforce relevance. This course includes an examination of Large Language Models (LLMs) and generative artificial intelligence (AI) for clinical support: pilot design, prompt engineering, validation, safety, monitoring, and regulatory considerations. The course will also teach students how to assess deployment and impacts of AI in clinical workflows.

Job Responsibility

  • The development of an online asynchronous course entails the creation and/or selection of elements as outlined in the Brandeis Online Course Standards
  • Required components include a Brandeis-compliant syllabus, instructor-created materials informed by current industry knowledge, learning objects, and applied assignments and assessments aligned to course and program outcomes
  • The Developer is responsible for the substantive content and pedagogical strategies of the course and agrees to uphold Brandeis’s academic standards and online course development guidelines
  • Throughout the design process, the Developer will collaborate with Brandeis Online staff, adhere to technical requirements for LMS integration, and meet project milestones
  • Course drafts will be submitted at designated intervals for feedback, and final approval will be contingent upon a comprehensive design review by a Learning Designer, and Brandeis Online

Requirements

  • Advanced degree (Master’s or Ph.D.) in Computer Science, Health Informatics, Data Science, Engineering, or a related field
  • Strong knowledge of AI fundamentals and its application to healthcare in addition to a strong grasp of the ethical implications of its usage
  • Minimum of 3 years of professional experience in developing and deploying real-world AI solutions
  • Proficiency in a programming language (e.g. Python, R)
  • At least 1 year of teaching or training experience (preferably online/asynchronous)
  • Minimum 1 year experience developing asynchronous online courses for adult learners in higher education or industry
  • Proficiency with LMS platforms and digital authoring tools
  • Familiarity with analytical tools, collaborative platforms, and interdisciplinary teamwork
  • Strong communication, organization, and independent work skills
  • Familiarity with curriculum design, accreditation standards, and graduate-level rigor
  • Ability to translate interdisciplinary content into engaging, accessible learning pathways
  • Strong writing and editing skills to produce cohesive, learner-centered experiences

Nice to have

  • Experience teaching or developing graduate-level online courses
  • Knowledge of global learner personas and culturally responsive pedagogy
  • Familiarity with Moodle LMS and digital authoring tools (e.g., H5P)
  • Familiarity with experiential learning models and employer-aligned curriculum
  • 3-5 years of related professional experience
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