1

Computer Science Teaching Assistant Jobs in Charleston, SC

SCA Administrative Assistant

Charleston, SC · On-site

$16.75 - $22.75/hr

SCA Administrative Assistant KBR's Product and Technology Solutions Division specializes in rapid ... Associate's degree in business or computer science or High School Diploma or GED. * Experience:

Python Tutor

Charleston, SC · Remote

$18 - $40/hr

... and computer science coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking down algorithm design, data manipulation, and object-oriented programming concepts in Python. Guides ...

Python Tutor

Mount Pleasant, SC · Remote

$18 - $40/hr

... and computer science coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking down algorithm design, data manipulation, and object-oriented programming concepts in Python. Guides ...

Showing results 41-60

Computer Science Teaching Assistant information

See Charleston, SC salary details

$7

$19

$35

How much do computer science teaching assistant jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for computer science teaching assistant in Charleston, SC is $19.26, according to ZipRecruiter salary data. Most workers in this role earn between $15.05 and $21.15 per hour, depending on experience, location, and employer.

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 Charleston, SC?

The most popular types of Computer Science Teaching jobs in Charleston, SC are:

What are popular job titles related to Computer Science Teaching Assistant jobs in Charleston, SC?

For Computer Science Teaching Assistant jobs in Charleston, SC, the most frequently searched job titles are:

What cities near Charleston, SC are hiring for Computer Science Teaching Assistant jobs?

Cities near Charleston, SC with the most Computer Science Teaching Assistant job openings:

UNIV - Open Rank - Department of Pharmacology and Immunology

Medical University of South Carolina

Charleston, SC

Full-time

Re-posted 22 days ago


Job description

Job Description Summary

The Department of Pharmacology and Immunology at the Medical University of South Carolina (MUSC) invites applications for a tenure-track faculty position in Computational Biology, Bioinformatics, or Systems Biology at the rank of Assistant or Associate Professor. Exceptional candidates with a strong record of innovation and productivity will be considered.

Entity

Medical University of South Carolina (MUSC - Univ)

Worker Type

Employee

Worker Sub-Type

Faculty

Cost Center

CC001032 COM PHARM Administration CC

Pay Rate Type

Salary

Pay Grade

University-00


Pay Range

0.00 - 0.00 - 0.000

Scheduled Weekly Hours

40

Work Shift

Job Description

Faculty Position in Computational Biology and Bioinformatics

Department of Pharmacology and Immunology, Medical University of South Carolina (MUSC), Charleston, South Carolina

The Department of Pharmacology and Immunology at the Medical University of South Carolina (MUSC) invites applications for a tenure-track faculty position in Computational Biology, Bioinformatics, or Systems Biology at the rank of Assistant or Associate Professor. Exceptional candidates with a strong record of innovation and productivity will be considered.

We seek a scientist who develops and applies advanced computational, statistical, and data science approaches to address fundamental and translational questions at the interface of pharmacology and immunology. The successful candidate will leverage large-scale biological data to advance mechanistic understanding of immune regulation, drug responses, and disease pathogenesis, while contributing to the development of next-generation therapeutic strategies.

Areas of interest include, but are not limited to:

  • Computational and systems immunology

  • Single-cell, spatial, and multi-omics data analysis

  • Systems pharmacology and drug response modeling

  • Machine learning and AI approaches in biomedical research

  • Computational approaches to immune-mediated diseases, cancer immunology, or host-pathogen interactions

  • Integrative analysis linking molecular mechanisms to therapeutic response or precision medicine

The department is particularly interested in candidates who will bridge computational discovery with experimental and translational research programs in pharmacology and immunology. Faculty in the department study immune signaling, inflammation, cancer biology, host-pathogen interactions, neuroimmunology, and therapeutic target discovery, providing strong opportunities for collaborative team science.

The successful candidate will be expected to establish an independent, externally funded research program, contribute to interdisciplinary collaborations, and participate in the teaching and mentoring missions of the department, including graduate education.

The successful candidate will also have opportunities to contribute to the department's vision of building a data-driven research ecosystem that integrates computational modeling, systems biology, and experimental discovery to accelerate therapeutic innovation in pharmacology and immunology.

Environment

The Department of Pharmacology and Immunology provides a collaborative and rapidly growing research environment with strengths spanning immunology, molecular pharmacology, cancer biology, and translational biomedical science. The department is committed to integrating data-driven discovery with mechanistic biology to advance therapeutic development. The department hosts internationally recognized laboratories working on translational and clinical multiomic spatialomics by mass spectrometry imaging integrating transcriptomics with metabolomics, lipidomics, glycomics and proteomics centered on immunology and therapeutics. The department boasts a state-of-the-art proteomics core integrative with multiomic metabolomic capabilities.

MUSC offers extensive opportunities for interdisciplinary collaboration through institutional programs in precision medicine, cancer research, genomics, bioinformatics, and clinical and translational science. Faculty benefit from robust institutional resources including high-performance computing, genomics and single-cell sequencing platforms, and biomedical data science infrastructure.

Charleston, South Carolina is a historic coastal city consistently ranked among the best places to live in the United States, offering an exceptional quality of life and vibrant academic community.

Qualifications

Applicants must hold a PhD, MD, or equivalent degree in computational biology, bioinformatics, systems biology, computer science, biostatistics, or a related discipline.

Successful candidates should demonstrate:

  • A strong record of research productivity and innovation

  • Evidence of independent research potential and the ability to obtain extramural funding

  • Interest in collaborative interdisciplinary research at the interface of pharmacology, immunology, and data science

  • Commitment to mentorship, graduate education, and academic citizenship

Application Instructions

Applicants should submit:

  • A cover letter

  • Curriculum vitae

  • A research statement (2-3 pages) describing current work and future research directions

  • A teaching and mentorship statement

  • Contact information for three references

Applications will be reviewed on a rolling basis until the position is filled.

The Medical University of South Carolina is an Equal Opportunity Employer and encourages applications from women, minorities, veterans, and individuals with disabilities.

Additional Job Description

Physical Requirements: (Note: The following descriptions are applicable to this section: Continuous - 6-8 hours per shift; Frequent - 2-6 hours per shift; Infrequent - 0-2 hours per shift) Ability to perform job functions in an upright position. (Frequent) Ability to perform job functions in a seated position. (Frequent) Ability to perform job functions while walking/mobile. (Frequent) Ability to work indoors. (Continuous) Ability to work outdoors in all weather and temperature extremes. (Infrequent) Ability to work in confined/cramped spaces. (Infrequent) Ability to perform job functions from kneeling positions. (Infrequent) Ability to squat and perform job functions. (Infrequent) Ability to perform 'pinching' operations. (Infrequent) Ability to fully use both hands/arms. (Frequent) Ability to perform repetitive motions with hands/wrists/elbows and shoulders. (Frequent) Ability to reach in all directions. (Frequent) Possess good finger dexterity. (Continuous) Ability to maintain tactile sensory functions. (Continuous) Ability to lift and carry 15 lbs., unassisted. (Infrequent) Ability to lift objects, up to 15 lbs., from floor level to height of 36 inches, unassisted. (Infrequent) Ability to lower objects, up to 15 lbs., from height of 36 inches to floor level, unassisted. (Infrequent) Ability to push/pull objects, up to 15 lbs., unassisted. (Infrequent) Ability to maintain 20/40 vision, corrected, in one eye or with both eyes. (Continuous) Ability to see and recognize objects close at hand. (Frequent) Ability to see and recognize objects at a distance. (Frequent) Ability to determine distance/relationship between objects; depth perception. (Continuous) Good peripheral vision capabilities. (Continuous) Ability to maintain hearing acuity, with correction. (Continuous) Ability to perform gross motor functions with frequent fine motor movements. (Frequent)

If you like working with energetic enthusiastic individuals, you will enjoy your career with us!

The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.

Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: http://www.uscis.gov/e-verify/employees