Job Description
Jonathan Haidt and Zach Rausch are seeking a Quantitative Senior Research Scientist to lead analyses of large datasets, conduct systematic reviews and meta-analysis, and ensure the methodological rigor of our research outputs. This role is central to the lab’s mission of clarifying the causal impacts of digital technology on youth mental health, education, and well-being.
The ideal candidate is a strong quantitative researcher with experience in psychology, sociology, public health, or related fields. They will serve as the lab’s statistical lead, providing quality assurance, reanalyzing datasets, and contributing to both academic and public-facing outputs. This is a full time role, housed at NYU. Relocation to New York is preferred, but hybrid work arrangement is an option for exceptional candidates.
Key Responsibilities
+ Statistical Leadership & QA
+ Serve as the lab’s primary statistical authority for internal and collaborative projects.
...
The ideal candidate is a strong quantitative researcher with experience in psychology, sociology, public health, or related fields. They will serve as the lab’s statistical lead, providing quality assurance, reanalyzing datasets, and contributing to both academic and public-facing outputs. This is a full time role, housed at NYU. Relocation to New York is preferred, but hybrid work arrangement is an option for exceptional candidates.
Key Responsibilities
+ Statistical Leadership & QA
+ Serve as the lab’s primary statistical authority for internal and collaborative projects.
...