1

Assistant Psychology Computer Science Jobs in New York

... as psychology, computer science, information sciences, human/computer interface design or commerce/business • Strong foundation in user research methodologies (qualitative and quantitative ...

Showing results 21-40

Assistant Psychology Computer Science information

Is assistant psychology computer science a good combination?

The combination of psychology and computer science is valuable for roles involving human-computer interaction, data analysis, and developing AI systems that understand human behavior. It requires interdisciplinary skills, including programming, statistical analysis, and knowledge of psychological principles, making it suitable for careers in research, technology, and mental health applications.

What can I do after being an assistant psychology computer science?

After working as an assistant in psychology and computer science, you can pursue roles such as research assistant, data analyst, or software developer in healthcare, tech, or academic settings. Gaining skills in programming, data analysis, and understanding psychological research methods can help expand your career options.

What can you do with assistant psychology and computer science?

An assistant psychology and computer science professional can develop and apply algorithms to analyze behavioral data, create software tools for psychological research, and improve human-computer interaction. Skills in programming, data analysis, and understanding of psychological principles are essential for roles in research, user experience design, and mental health technology development.

What are the most commonly searched types of Psychology Computer Science jobs in New York?

The most popular types of Psychology Computer Science jobs in New York are:

What cities in New York are hiring for Assistant Psychology Computer Science jobs?

Cities in New York with the most Assistant Psychology Computer Science job openings:

Math Learning Lab (MLL) - Computer Science Learning Assistant for 2026-2027

Seton Hall University

Orange, NJ • On-site

Part-time

Re-posted 2 days ago


Job description

Math Learning Lab (MLL) - Computer Science Learning Assistant for 2026-2027
Job no: 497244
Full time/Part time: Part-time
Location: South Orange
Categories: Student Employment
JOB SUMMARY
The Math Learning Lab is seeking qualified and motivated individuals to join our academic support team as Undergraduate Learning Assistant for CSAS Introduction to Program Design I & II. The successful candidates will play a key role in enhancing student success by supporting the students in the class and leading structured group study sessions. As an Undergraduate Learning Assistant, you will collaborate with faculty, provide academic support, and create a positive and engaging learning environment.
DUTIES & RESPONSIBILITIES
Attendance to every class for either CSAS 1114 or CSAS 1115 as assigned
Answering student questions during class
Solving computer technical issues that arise in class
Developing and presenting a selection of programs throughout the semester
Evaluating student programs
Preparing study guides as a student for students
Two weekly office hours with the Professor
Approximately 6-8 hours of tutoring/recitation hours.
Assist in supervision and training of the Computer Science tutors.
REQUIRED QUALIFICATIONS
Currently enrolled undergraduate student.
Proficiency in Mathematics and Computer Science, with at least a B+ in CSAS 1114, CSAS 1115
GPA in Math and Computer Science of 3.0 or higher.
Experience as a programmer using the Racket-based student language and the Program-by-Design methodology.
Excellent communication and interpersonal skills.
Demonstrated ability to work effectively with diverse student populations.
Enthusiasm for supporting student success and fostering a positive learning environment.
Recommendation from Dr. Morazan, Dr. Dr. Albagli-Kim or Dr. Hemann is required.
Must have been a CS Peer Tutor for the Math Learning Lab.
DESIRED QUALIFICATIONS
Proficiency in Racket-based student language, Java, Python, and Program-by-Design methodology.
Previous tutoring experience preferred.
SPECIAL INSTRUCTIONS
After applying please email Dr. Sethi at wendiann.sethi@shu.edu with your grades for CSAS classes taken and have CSAS 1114/1115 professor send a letter of recommendation letter.
CONTACT
Dr. Wendiann Sethi. email wendiann.sethi@shu.edu
FEDERAL WORK STUDY ELIGIBILITY
Not Required
Seton Hall University is committed to programs of Equal Employment Opportunity (EEO).
Advertised: 23 Apr 2026 Eastern Daylight Time
Applications close: 02 Oct 2026 Eastern Daylight Time
Whatsapp Facebook LinkedIn Email App