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Part Time Applied Statistics Jobs (NOW HIRING)

Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ... statistics, and inductive/deductive reasoning A current, in progress, or completed Masters and/or ...

Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ... statistics, and inductive/deductive reasoning A current, in progress, or completed Master's and/or ...

Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ... statistics, and inductive/deductive reasoning A current, in progress, or completed Master's and/or ...

Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ... statistics, and inductive/deductive reasoning A current, in progress, or completed Master's and/or ...

Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ... statistics, and inductive/deductive reasoning A current, in progress, or completed Master's and/or ...

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Part Time Applied Statistics information

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$40.5K

$83.7K

$117K

How much do part time applied statistics jobs pay per year?

As of Jun 5, 2026, the average yearly pay for part time applied statistics in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Applied Statistics vs Part Time Data Analyst?

AspectPart Time Applied StatisticsPart Time Data Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related field; often some experience in statistical softwareBachelor's in Data Science, Statistics, or related; familiarity with data tools
Work EnvironmentAcademic, research, or consulting settings; project-basedBusiness, corporate, or tech environments; data-driven decision making
Employer & Industry UsageUniversities, research firms, government agenciesCorporations, marketing firms, finance, tech companies
Common Search & ComparisonPart Time Applied Statistics vs Part Time Data Analyst

Part Time Applied Statistics roles focus on statistical theory, research, and analysis, often in academic or research settings. In contrast, Part Time Data Analyst positions emphasize interpreting data for business insights, typically within corporate environments. Both roles require analytical skills and familiarity with data tools, but their application contexts differ.

What are the most commonly searched types of Applied Statistics jobs? The most popular types of Applied Statistics jobs are:
What states have the most Part Time Applied Statistics jobs? States with the most job openings for Part Time Applied Statistics jobs include:
Infographic showing various Part Time Applied Statistics job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.
Adjunct Instructor for BE-GY 6473 Applied Math and Statistics Course, Department of Biomedical En...

Adjunct Instructor for BE-GY 6473 Applied Math and Statistics Course, Department of Biomedical En...

New York University

New York, NY • On-site

Part-time

Posted 28 days ago


New York University rating

8.3

Company rating: 8.3 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

95th of 532 rated colleges and universities


Job description

Description
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.
The Department of Biomedical Engineering at the NYU Tandon manages the graduate level course BE-GY 6473 Applied Math and Statistics for Biomedical Engineering, which 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. More exactly, the lecture and lab date / time is every Tuesday, 6 pm - 8:30 pm), and 1 final exam section (2.5 hours).
Qualifications
We presently seek an adjunct instructor who is eager to provide a solid foundation for our BME graduate students upon understanding and applying statistical methods to analyze biological and medical data in this BE-GY 6473 Applied Math and Statistics for Biomedical Engineering course. The adjunct instructor's primary responsibility will be teaching. The responsibility is fulfilled by:
  • Delivering the lecture and supervising the lab session every week
  • Evaluating individual assignments and group-based lab reports, and send back feedbacks to students in time (typically within a week period)
  • Grading quizzes and exam(s) in time (typically within a week period)
  • Constructing a course project and arranging the key steps well for students to follow up and complete the project
  • Answering students' questions relevant to course content, assignments, labs, and course project in time

We invite applicants with expertise in relevant engineering or science fields. Applicants should ideally fulfill the following qualified requirements:
  • 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, such as data visualization, descriptive statistics, random behavior modeling, normal distribution, statistical inference, analysis of variance, regression analysis, correlation analysis, non-parametric statistics, and survival analysis
  • Profound knowledge and experience in the application of engineering statistics towards biomedical engineering fields.

Application Instructions
Please submit the following materials electronically through the "Apply Now" button:
  • Cover letter
  • Contact References
  • 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, etc.)
  • 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

We will review applications starting Aug 10, 2025 and will continue until we fill the position; we encourage you to submit early. Should you have any questions please contact the program directors, Dr. Xiao Ma (xm8@nyu.edu) and Dr. Andreas Hielscher (ahh4614@nyu.edu).
About Us
New York University (NYU) is one of the top private universities in the United States with an unparalleled network of global campuses and academic centers. NYU's Tandon School of Engineering, located in the heart of Brooklyn, dates back to 1854, the founding year of both the New York University School of Civil Engineering and Architecture and the Brooklyn Collegiate and Polytechnic Institute. Backed by an historic commitment of $1 billion and under the new leadership of Juan de Pablo as the University's Executive Vice President for Global Science and Technology and Tandon's Executive Dean, the Engineering School is entering an exciting new phase to recruit world-class faculty conducting groundbreaking basic and applied research in key areas. We are home to a community of renowned faculty and undergraduate and graduate students united in a mission to understand and create technology that powers cities, enables worldwide communication, fights climate change, and builds healthier, safer, and more equitable real and digital worlds. The school's culture centers on encouraging rigorous, interdisciplinary collaboration and research; fostering inclusivity, entrepreneurial thinking, and diverse perspectives; and creating innovative and accessible pathways for lifelong learning in STEM.
NYU Tandon is committed to substantially increase the proportion of our faculty from historically underrepresented groups in STEM and we encourage candidates from such groups to apply. We aspire to create a climate where diversity and inclusion are not only appreciated but considered an asset for creativity and innovation, and we seek faculty who have a real passion for a culturally diverse environment. We take pride in our high numbers of female students and students who are the first in their family to go to college. NYU belongs to the Higher Education Recruitment Consortium (HERC), which assists with dual-career searches, and our faculty are supported by a range of work-life balance programs provided by the NYU Office of Work Life.
Additional Information
In compliance with NYC's Pay Transparency Act, the contact hour rate for this position is $222.27. This rate is based on the collective bargaining agreement with Local 7902.

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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

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