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Lecturer In Statistics Jobs in New York (NOW HIRING)

Arms Acres

Outpatient Clinic Director, Bronx

Bronx, NY · On-site

$70K - $85K/yr

Supervises staff in regard to client care, treatment plan development, discharge planning ... OASAS statistical reports and other reports requested by the Director of Outpatient Operations.

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Lecturer In Statistics information

What are the key skills and qualifications needed to thrive as a lecturer in statistics, and why are they important?

To thrive as a Lecturer in Statistics, you need an advanced degree in statistics or a related field, strong analytical skills, and a solid grounding in statistical theory and methods. Familiarity with statistical software such as R, SAS, or SPSS, as well as experience with learning management systems, is typically required. Excellent communication, presentation, and mentoring skills help engage students and facilitate effective learning. These competencies are crucial for delivering high-quality education, supporting student success, and advancing research within the academic environment.

What are some typical challenges faced by a lecturer in statistics when balancing teaching and research responsibilities?

Lecturers in Statistics often juggle the demands of preparing and delivering high-quality lectures with maintaining an active research profile. Managing large class sizes, keeping course content up-to-date with evolving statistical methods, and providing individualized student support can be time-consuming. At the same time, there may be expectations to publish research and contribute to departmental projects, requiring strong time management and prioritization skills. Collaborating with colleagues, seeking research partnerships, and utilizing university support services are common strategies to successfully balance these responsibilities.

What is the difference between Lecturer In Statistics vs Teaching Assistant In Statistics?

AspectLecturer In StatisticsTeaching Assistant In Statistics
Required CredentialsMaster's or PhD in Statistics or related fieldEnrolled in or recent graduate of relevant program
Work EnvironmentUniversity classrooms, lecture halls, research settingsAssisting in courses, grading, tutoring
Employer & Industry UsageHigher education institutions, universitiesUniversities, colleges, academic departments
Common Search & Comparison IntentUnderstanding academic roles, career pathAssisting in courses, entry-level academic support

In summary, a Lecturer In Statistics typically holds advanced degrees and delivers lectures at universities, focusing on teaching and research. A Teaching Assistant In Statistics usually supports faculty by grading, tutoring, and assisting in classes, often being a graduate student. Both roles are integral to academic institutions but differ in responsibilities and qualifications.

What does a lecturer in statistics do?

A Lecturer in Statistics is an academic professional who teaches undergraduate and/or postgraduate courses in statistics at a college or university. Their responsibilities include preparing and delivering lectures, developing course materials, assessing student performance, and providing academic guidance. Additionally, they may conduct research in statistical theory or applied statistics and contribute to departmental administration. Lecturers often stay updated with advances in the field and may participate in academic conferences or publish scholarly papers.
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Lecturer In Statistics jobs near you
Infographic showing various Lecturer In Statistics job openings in New York as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Adjunct Associate Faculty, Applied Machine Learning I (On-Campus, Fall '26)

Columbia University

New York, NY • On-site

$2.0K - $3.0K/wk

Part-time

Re-posted 17 days ago

Job description

Company Description
Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society.
The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.
Job Description
The School of Professional Studies seeks a data analytics professional to serve as a part-time Associate for a graduate-level course called Applied Analytics Frameworks & Methods I.
  • The world is generating data at an even faster pace via business transactions, online searches, social media activities, and various sensors. The ready availability of vast amounts of data creates opportunities to predict outcomes and explain phenomena across a wide range of domains from medicine to business to even space exploration. Supervised learning techniques are being extensively used to make useful predictions and generate insights to tackle problems. These predictive analysis techniques focus on this course, guiding students through the data-wrangling process, starting with data exploration and other foundational approaches. The course then covers an array of supervised learning techniques, including linear regression, decision trees, and support vector machines. Students also have the opportunity to challenge themselves in applying and combining the techniques they have learned through a predictive analytics competition.

An Associate is a faculty line junior to a Lecturer that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University.
Responsibilities
  • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions.
  • Evaluate, grade student work and assessments as requested by the course Lecturer.
  • Monitor and address student concerns and inquiries.

Qualifications
Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting.
Requirements
  • Graduate degree in an area related to data science, applied analytics, statistics, or another quantitative discipline.
  • Proficient in Python programming.
  • 3+ years of professional experience in a role involving applied analytics.

Preferred Skills & Experience
  • Knowledge of theories and practical application of machine learning.
  • University teaching experience.

Additional Information
Salary range: $2,000 - $3,000 per semester long course
Please submit a resume inclusive of university teaching experience.
All your information will be kept confidential according to EEO guidelines.
Columbia University is an Equal Opportunity Employer / Disability / Veteran

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