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Adjunct Instructor in Statistical Modeling and Causal Inference at Brandeis University - ApplyBlast

Adjunct Instructor in Statistical Modeling and Causal Inference

Brandeis University

5 months ago

4.0 on Glassdoor

Remote

Part Time

Senior

0 applicants

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About this role

An Adjunct Faculty member for the RADS 105 Statistical Modeling and Causal Inference course at Brandeis University's Online Applied Data Science and Decision Analytics Program. The role involves teaching an asynchronous online course focused on statistical modeling and causal inference techniques for program, product, and policy evaluation.

Responsibilities

Design and deliver asynchronous online course content
Provide transparent and supportive feedback on student work
Maintain consistent communication through weekly announcements
Facilitate weekly academic discourse in forums
Ensure course meets accessibility and technical standards

Skills

Qualifications

MS or Ph.D. in Statistics, Biostatistics, Applied Mathematics, Data Science or related fieldExperience in statistical modeling and causal inferenceProfessional experience building regression, generalized linear models, hierarchical/multilevel models, and Bayesian approachesAbility to apply models to real-world datasetsExperience with statistical software such as SPSS