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Computer Science Teaching Assistant Jobs in Missouri

Brewer Science, Inc.

Data Scientist

Rolla, MO · On-site

... to assist in data collection plans, to analyze, process, and model data, and to teach data ... Bachelor's degree in statistics, computer science, mathematics, or relevant field and * Experience ...

Brewer Science Inc.

Data Scientist

Rolla, MO · On-site

... to assist in data collection plans, to analyze, process, and model data, and to teach data ... Bachelor's degree in statistics, computer science, mathematics, or relevant field and * Experience ...

Brewer Science

Data Scientist

Rolla, MO · On-site

... cross functionally to assist in data collection plans, analyze and model data, and create ... S. • Bachelor's degree in statistics, computer science, mathematics, or relevant field for Data ...

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All JobsComputer Science Teaching JobsComputer Science Teaching Assistant JobsComputer Science Teaching Assistant Jobs in Missouri

Computer Science Teaching Assistant information

What are some typical challenges faced by computer science teaching assistants when supporting students during lab sessions?

Computer Science Teaching Assistants often encounter challenges such as addressing a wide range of student skill levels, managing multiple questions simultaneously, and explaining complex concepts in an accessible way. It’s important to balance providing guidance with encouraging independent problem-solving. TAs also need to stay up to date with course material and software tools, and to communicate effectively with both students and the course instructor to ensure consistent support.

What is a computer science teaching assistant?

Computer science teaching assistants (TAs) are individuals, often graduate or advanced undergraduate students, who support professors in teaching computer science courses. Their duties typically include helping students with assignments, answering questions, conducting lab sessions, grading, and sometimes leading discussion sections. TAs play a crucial role in facilitating student learning and providing additional support outside regular lectures. They help bridge the gap between students and instructors, making it easier for students to grasp complex computer science concepts.

What are the key skills and qualifications needed to thrive as a computer science teaching assistant, and why are they important?

To thrive as a Computer Science Teaching Assistant, you need a solid understanding of programming concepts, algorithms, and data structures, usually supported by coursework or a degree in computer science. Familiarity with programming languages (such as Python, Java, or C++), code collaboration tools (like Git), and learning management systems (e.g., Canvas or Blackboard) is often required. Strong communication, patience, and the ability to explain complex concepts clearly are crucial soft skills for supporting student learning. These skills ensure you can effectively assist students, reinforce course material, and contribute to a productive educational environment.

What is the difference between Computer Science Teaching Assistant vs Computer Science Tutor?

AspectComputer Science Teaching AssistantComputer Science Tutor
CredentialsUsually requires enrollment in or completion of a computer science programNo formal credentials required, but expertise in specific topics is essential
Work EnvironmentAssists in classrooms, labs, or university settingsProvides one-on-one or group instruction outside formal classroom settings
Employer & Industry UsageUniversities, colleges, educational institutionsPrivate tutoring services, online platforms, freelance

While both roles involve teaching computer science concepts, a Computer Science Teaching Assistant typically supports formal academic courses within educational institutions, often requiring relevant coursework or enrollment. In contrast, a Computer Science Tutor offers personalized instruction outside of formal settings, focusing on specific student needs without formal credentials. Both roles aim to improve student understanding but differ mainly in environment and credential requirements.

What are the most commonly searched types of Computer Science Teaching jobs in Missouri? The most popular types of Computer Science Teaching jobs in Missouri are:
What are popular job titles related to Computer Science Teaching Assistant jobs in Missouri? For Computer Science Teaching Assistant jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Computer Science Teaching Assistant jobs in Missouri look for? The top searched job categories for Computer Science Teaching Assistant jobs in Missouri are:
What cities in Missouri are hiring for Computer Science Teaching Assistant jobs? Cities in Missouri with the most Computer Science Teaching Assistant job openings:
Computer Science Teaching Assistant jobs near you
Infographic showing various Computer Science Teaching Assistant job openings in Missouri as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Electrical Engineering/Computer Science/Patent Agent or Associate Attorney

Pernini Legal, LLC

Saint Louis, MO • On-site

$140K - $260K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Job description

PATENT AGENT - ELECTRICAL ENGINEERING & COMPUTER SCIENCE
Multiple Locations Available...full list at the bottom of this description.
Our client, a prestigious AmLaw 100 national law firm, is seeking a skilled and motivated Patent Agent to join their Electrical Engineering and Computer Science Patent Prosecution Practice Group. This is an exciting opportunity to work on cutting-edge technologies while collaborating with a team of experienced attorneys and professionals.
Candidate Profile:
  • Degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, or Physics.
  • USPTO Admission is required.
  • 3+ years of relevant patent preparation and prosecution experience.
  • Strong technical background with the ability to quickly grasp complex innovations.
  • Excellent writing and communication skills, with the ability to draft high-quality patent applications.
  • Prior experience working in a law firm, engineering, or industry setting.

Preferred Experience:
  • Patent prosecution in electrical engineering or software-related technologies;
  • Data science/artificial intelligence (AI)/network security/networking technologies;
  • Machine learning/AI (in addition to data science) and hardware security.

Key Responsibilities:
  • Prepare and prosecute patent applications before the USPTO.
  • Conduct patentability and freedom-to-operate analyses.
  • Collaborate with inventors and clients to develop and protect cutting-edge technologies.
  • Assist in patent portfolio management and strategy development.

Why Join Us?
This is an excellent opportunity to be part of a forward-thinking intellectual property practice where you will work on high-tech innovations in a supportive, collaborative environment. The firm is committed to professional development and provides mentorship, training, and career growth opportunities.
Compensation & Benefits
  • Competitive Compensation: Includes an annual salary range of $110,000-$190,000, depending on experience and market factors, in addition to eligibility for a discretionary bonus.
  • Comprehensive Benefits: Includes medical, dental, vision, life, and disability insurance; 401(k) plan; paid time off; parental leave; commuter benefits; FSA/HSA; and emergency child and elder care.
  • Additional Perks: Include a two-week-long paid associate sabbatical after five years of employment, wellness and behavioral health services; an employee assistance program; and a mindful return support program for parents returning from parental leave.

Application Requirements:
Interested candidates should submit a cover letter, resume, undergraduate transcript, graduate transcript as applicable, and a writing sample (preferably a patent application).
Locations (DC or San Francisco preferred):
AZ (Phoenix)
CA (Los Angeles, San Francisco)
CO (Denver)
DC (Washicngton)
GA (Atlanta)
MO (St. Louis, Kansas City)
TX (Houston)
WA (Seattle)
Our client is an Equal Opportunity Employer.
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