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Brandeis University Logo Brandeis University · Education

Online Course Developer – RHIN XXX Clinical Data Science and Machine Learning

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 Clinical Data Science and Machine Learning. 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 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.

Job Responsibility

  • Design and build a new three credit asynchronous online course titled: RHIN XXX Clinical Data Science and Machine Learning
  • Create and/or select elements as outlined in the Brandeis Online Course Standards
  • Develop required components including 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
  • Be responsible for the substantive content and pedagogical strategies of the course
  • Uphold Brandeis’s academic standards and online course development guidelines
  • Collaborate with Brandeis Online staff, adhere to technical requirements for LMS integration, and meet project milestones
  • Submit course drafts at designated intervals for feedback

Requirements

  • 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)
  • Minimum 1 year experience developing asynchronous online courses for adult learners in higher education
  • 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
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