A Biostatistician conducts statistical analysis of health and biology-related data. Analysis may be used for product development at a pharmaceutical company, disease research at a hospital or health policy research at a public health organization.
Longitudinal Analysis of Public Health Data ( Syllabus)
Department:
NYU School of Global Public Health -
Biostatistics Supervisor:
Dr.
Rebecca Betensky Employment Dates:
Spring 2026 This course covers modern methods for the analysis of repeated measures, correlated outcomes, and longitudinal data, including the unbalanced and incomplete data that are characteristic of public health research. There are four widely available methods for dealing with dependence: robust standard errors, generalized estimating equations, random effects models, and fixed effects models. This course examines each of these methods in some detail, with an eye to discerning their relative advantages and disadvantages. Different methods are considered for quantitative outcomes and categorical outcomes. The course uses Stata statistical software and gives students hand-on experience working with real data.
Qualifications:
Qualified applicants will have an advanced degree in statistics or a related field (PhD preferred). Previous experience teaching introductory statistics is preferred.
Application Instructions:
If interested, please upload a CV and cover letter via Interfolio. In compliance with NYC's Pay Transparency Act, the hourly rate for this position is $222.27. New York University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer. Equal Employment Opportunity Statement For people in the EU, click here for information on your privacy rights under
GDPR:
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