"Adjunct Instructor for BE-GY 6473 Applied Math and Statistics Course, Department of Biomedical Engineering, New York University"

The Department of Biomedical Engineering at the NYU Tandon School of Engineering invites applications for part-time, non-tenured instructors of BE-GY 6473 Applied Math and Statistics for Biomedical Engineering course in Fall 2025 semester, with a start date of September 2, 2025, and an end date of December 21, 2025.

This course provides a foundation for understanding and applying statistical methods to analyze biological and medical data. Topics covered include data visualization, descriptive statistics, random behavior modeling, normal distribution, statistical inference, analysis of variance, regression analysis, correlation analysis, non-parametric statistics, and survival analysis. The course includes hands-on computer lab sections for practical application of these techniques to real biological and medical datasets.

By the end of this course, students should be able to understand and apply various statistical methods for data summarization and visualization in biological and medical contexts, choose appropriate statistical techniques for estimation, hypothesis testing, regression, and analysis of variance, select the correct statistical method based on data type and study design, and utilize statistical software tools to analyze, describe, and display data effectively. A typical teaching load is 37.5 hours for the whole semester, which includes 14 lectures + computer labs (2.5 hours for each week’s lecture and lab session, every Tuesday, 6 pm – 8:30 pm), and 1 final exam section (2.5 hours).

Responsibilities include:

• Delivering the lecture and supervising the lab session every week
• Evaluating individual assignments and group-based lab reports, and sending back feedback to students in time (typically within a week)
• Grading quizzes and exam(s) in time (typically within a week)
• Constructing a course project and arranging the key steps for students to follow up and complete the project
• Answering students’ questions relevant to course content, assignments, labs, and course project in time

Applicants should have:

• Ph.D. in engineering, STEM, or related fields
• A documented record of university teaching in graduate level engineering statistics courses
• Prior experience in course instruction, student supervision or tutoring on graduate level engineering statistics courses with excellent student evaluation ratings
• Proficiency in engineering statistical key concepts, principles, and methods
• Profound knowledge and experience in the application of engineering statistics towards biomedical engineering fields

To apply, submit the following materials:

• Cover letter
• Current CV (emphasize on teaching experience)
• Teaching statement describing experience and teaching philosophy
• Sample teaching portfolio for the engineering statistics or relevant topic courses (e.g., syllabus, sample homework set, computational lab instruction, sample quizzes/exams, and course project guidance)
• Recent teaching evaluations
• A statement of your experience with or knowledge of inclusion, diversity, equity, and belonging efforts and your plans for incorporating them into your teaching and mentoring process
• Names and contact information for at least two references

For questions, contact the program directors, Dr. Xiao Ma (xm8@nyu.edu) and Dr. Andreas Hielscher (ahh4614@nyu.edu).

New York University is one of the top private universities in the United States. The Tandon School of Engineering is committed to diversity and inclusion.