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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