• Adjunct Instructor - Gph-GU 2182 Statistical…

    New York University (New York, NY)


    Position: Adjunct Instructor – GPH-GU 2182 Statistical Programming in R (Graduate)

     

    Department: NYU School of Global Public Health - Biostatistics

     

    Supervisor: Dr. Rebecca Betensky

     

    Employment Dates: Fall 2025

     

    R is one of the most popular programming languages in statistics and data science. This course will introduce various R programming topics, including R objects, data visualization, data import & export, data manipulation, creating functions and iterations for statistical simulations, and writing high-quality reports with R Markdown. The course will focus on public health datasets as illustrations to best meet the practical needs of GPH students but is also open to those of other backgrounds. By the end of the course, students will be able to comfortably program in R for effective data preprocessing, analysis and presentation. This course does not require prior experience in programming or statistics and serves as a foundation for other courses in biostatistics, epidemiology, and data science.

    Two sections are available:

    + Wednesdays, 2:00–4:40pm, Sept 3 – Dec 10, 2025

    + Mondays, 4:55–7:35pm, Sept 8 – Dec 8, 2025

     

    Qualified applicants will have an advanced degree in statistics or a related field (PhD preferred). Previous experience teaching introductory statistics is preferred.

     

    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.

     

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    NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.

     

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