Temporary Online Course Developer Statistical Modeling And Causal Inference
Brandeis University
Remote, US
Base: $3,000; bonus/equity: not specified; benefit...
Fully remote
Statistical modeling and causal inference
Asynchronous online course design
Regression analysis
Design and build a new three credit asynchronous online course titled: Statistical Modeling and Causal Inference
Job Summary
Design and build a new three credit asynchronous online course titled: Statistical Modeling and Causal Inference.
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.
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.
Matching Summary
Design and build a new three credit asynchronous online course titled: Statistical Modeling and Causal Inference.
Salary
Base: $3,000; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
Statistical Modeling and Causal Inference
Asynchronous online course design
Regression analysis
Identification strategies
Applied assignments and assessments
Nice-to-have
Global learner personas
Culturally responsive pedagogy
Experiential learning models
Employer-aligned curriculum
Key Requirements
Advanced degree (MS or Ph.D.) in Statistics, Biostatistics, Applied Mathematics, Data Science or related field
1 year teaching or training experience (preferably online/asynchronous)
1 year experience developing asynchronous online courses for adult learners
Proficiency with LMS platforms and digital authoring tools
Familiarity with curriculum design and accreditation standards