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Temporary Part-Time Location: USA (non-CU jobs) Categories: Technical/Clinical/Quality Improvement/Training ICAP at Columbia University, a global health leader situated within the Columbia University ...

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What is the difference between Columbia University Part Time vs Columbia University Research Assistant?

AspectColumbia University Part TimeColumbia University Research Assistant
Required CredentialsVaries; often high school diploma or some collegeTypically requires a bachelor's degree in a related field
Work EnvironmentOn-campus, flexible hours, administrative or support rolesLaboratory or academic research settings, often in labs or offices
Employer & Industry UsageUsed across various departments for administrative supportPrimarily in research projects within academic or scientific departments

Columbia University Part Time roles generally involve flexible, support-oriented tasks, while Columbia University Research Assistant positions focus on assisting with research projects, often requiring specific academic credentials. Both roles are integral to the university's operations but serve different functions within the academic environment.

What skills and qualifications are needed to thrive as a part-time employee at Columbia University?

To thrive as a part-time employee at Columbia University, you generally need relevant educational background or experience aligned with the specific role, attention to detail, and strong organizational skills. Familiarity with university systems such as CourseWorks, LionMail, or administrative tools may be required depending on the position. Effective communication, adaptability, and teamwork are standout soft skills for collaborating with faculty, staff, and students. These skills and qualities ensure smooth operations, support academic and administrative functions, and contribute to a positive campus environment.

What is a Columbia University part-time job?

Columbia University part-time jobs are employment opportunities offered by the university for students, staff, or external candidates who wish to work fewer hours than a full-time schedule. These roles can range from administrative support and research assistance to library or campus services positions. Part-time jobs at Columbia are designed to provide flexible work hours, allowing employees to balance work with academic or personal commitments. They also offer valuable work experience, networking opportunities, and sometimes benefits, depending on the position.

What are common challenges faced by part-time employees at Columbia University, and how can they be managed?

Part-time employees at Columbia University often navigate balancing multiple responsibilities, such as work, studies, or other jobs, which can be challenging due to variable schedules. Additionally, part-time roles may have limited access to certain benefits and professional development opportunities compared to full-time positions. However, clear communication with supervisors, proactive time management, and taking advantage of university resources—like training workshops or campus networking events—can help part-time staff manage these challenges effectively and maximize their experience.
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Infographic showing various Columbia University Part Time job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 16% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Adjunct Associate Faculty, Applied Deep Learning and AI (On-Campus, Fall '26)

Columbia University

New York, NY • On-site

$2.0K - $3.0K/wk

Part-time

Re-posted 18 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 Applied Analytics program is seeking data analytics professionals to serve as a part-time Associate for a graduate-level course called Applied Deep Learning and AI. This advanced course delves into deep learning, blending key elements from Statistical Machine Learning. Students will gain a solid foundation in supervised learning and other related algorithms and methods. Topics covered include Support Vector Machines, Neural Networks, Convolutional Neural Networks (CNN), word embeddings, attention mechanisms, transformers, encoder-decoder architectures, Generative Adversial Networks (GAN), and Reinforcement Learning. Practical applications will demonstrate how to prepare, train, test, and validate models. 
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 on-campus 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
  • Conduct office hours.
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 Computer Science, Data Science, or a related field (Completing relevant coursework such as Deep Learning, Machine Learning, and Statistics courses).
  • Proficient in Python and familiar with deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Deep Learning Knowledge: Strong understanding of CNNs, RNNs, LLMs, Reinforcement Learning, and model evaluation techniques.
  • Hands-on experience with deep learning projects and data manipulation.
  • 3 years of professional experience in a role related to applied analytics

Preferred Skills & Experience

  • Strong verbal and written skills for explaining concepts clearly.
  • University teaching experience in related subjects
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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