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Part Time Computer Science Research Jobs in South Carolina

... senior research scientist. * Recent (last ~5 years) representative publications in the relevant ... Reliable access to high-speed internet and a computer suitable for rigorous technical work.

... senior research scientist. * Recent (last ~5 years) representative publications in the relevant ... Reliable access to high-speed internet and a computer suitable for rigorous technical work.

$99K - $225K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Showing results 41-60

Part Time Computer Science Research information

What is a part time computer science research position?

A part time computer science research position involves working on research projects in the field of computer science while committing fewer hours per week than a full-time role. These positions are often held by students or professionals who want to gain research experience, contribute to academic or industry projects, or prepare for graduate studies. Typical tasks can include conducting experiments, reviewing literature, analyzing data, writing reports, and collaborating with a research team. Part time research roles offer flexibility and can often be tailored to accommodate academic schedules or other commitments.

What are the key skills and qualifications needed to thrive as a part time computer science researcher?

To thrive as a Part Time Computer Science Researcher, you need strong analytical skills, a solid foundation in computer science principles, and typically at least a bachelor's degree in computer science or a related field. Familiarity with programming languages, data analysis tools, and version control systems like Git is often required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for collaborating with teams and managing independent projects. These competencies enable researchers to contribute valuable insights, stay organized, and drive innovation in a flexible, research-driven environment.

How do part time computer science research roles typically balance independent work and team collaboration?

In a part-time computer science research role, you'll often split your time between independent tasks—such as literature reviews, coding experiments, or data analysis—and collaborative meetings with your research team. Coordination is usually achieved through regular check-ins or virtual meetings, where progress is discussed and feedback is provided. You'll need to manage your schedule efficiently to align your independent work with the team's goals and deadlines. This structure allows flexibility but also requires strong communication and self-management skills to ensure research milestones are met.

What are the most commonly searched types of Computer Science Research jobs in South Carolina?

The most popular types of Computer Science Research jobs in South Carolina are:

What are popular job titles related to Part Time Computer Science Research jobs in South Carolina?

For Part Time Computer Science Research jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Part Time Computer Science Research jobs in South Carolina look for?

The top searched job categories for Part Time Computer Science Research jobs in South Carolina are:

Infographic showing various Part Time Computer Science Research job openings in South Carolina as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Senior Scientific Reviewer - Physics

micro1 AI

North Charleston, SC • On-site, Remote

$80 - $150/hr

Part-time

Posted 18 days ago


Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.