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Remote Computer Science Research Assistant Jobs in Cleveland, OH

Forensic Computer Analyst

Cleveland, OH · On-site +1

$78K - $144K/yr

Conducts studies and research for improving forensic analyses, scientific methods, and resolving ... Analyzes systems to assist with network intrusion and cybersecurity investigations to determine the ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data ...

... Computer Science double major or Statistics/Math and Operation Research double major We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance ...

... remote based (can also be onsite in Chaska, MN). At Danaher Diagnostics, our vision is to be the ... Partner crossfunctionally with R&D, Regulatory, Medical Affairs, Quality, and Commercial teams to ...

Bachelor's degree in Computer Science, Cyber Security, Information Security, Engineering ... Experience with Performance Analytics, Predictive Intelligence, Now Assist, or generative ...

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Remote Computer Science Research Assistant information

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How much do remote computer science research assistant jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for remote computer science research assistant in Cleveland, OH is $21.25, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $24.71 per hour, depending on experience, location, and employer.

What is a remote computer science research assistant?

A Remote Computer Science Research Assistant is someone who supports computer science research projects from a remote location, typically via the internet. Their duties often include conducting literature reviews, collecting and analyzing data, developing code or algorithms, and assisting with the preparation of academic papers or presentations. This role requires strong technical skills, good communication, and the ability to work independently while collaborating with a research team online. Remote assistants may work for universities, research institutes, or private companies on topics such as artificial intelligence, cybersecurity, or software engineering.

What are the key skills and qualifications needed to thrive as a remote computer science research assistant?

To thrive as a Remote Computer Science Research Assistant, you need a solid background in computer science fundamentals, programming, and research methodology, often supported by progress toward or completion of a relevant degree. Familiarity with data analysis tools, programming languages like Python or Java, version control systems such as Git, and literature databases is typically required. Strong written communication, self-motivation, and time management skills help you excel when collaborating remotely and handling independent research tasks. These abilities are crucial for efficiently contributing to research projects, meeting deadlines, and maintaining productive collaboration from a remote environment.

How do remote computer science research assistants typically collaborate with research teams when working from different locations?

Remote Computer Science Research Assistants generally use a mix of collaboration tools such as video conferencing, shared code repositories, and project management platforms to stay connected with their teams. Regular virtual meetings help align research goals, discuss progress, and resolve technical issues. Clear written communication is especially important in this setting, as documentation and asynchronous updates help ensure everyone is on the same page. Team members often share tasks such as data analysis, literature reviews, and experimental design, making collaboration a key part of daily responsibilities.

What is the difference between Remote Computer Science Research Assistant vs Remote Data Analyst?

AspectRemote Computer Science Research AssistantRemote Data Analyst
Required CredentialsBachelor's or higher in Computer Science or related field; research experienceBachelor's or higher in Data Science, Statistics, or related field; analytical skills
Work EnvironmentAcademic or research institutions, labs, universitiesBusiness, finance, healthcare, or tech companies
Employer & Industry UsageUniversities, research centers, tech labsCorporations, consulting firms, data-driven industries
Common Search & ComparisonYesNo

The Remote Computer Science Research Assistant typically focuses on supporting academic or research projects in computer science, often involving experimental or theoretical work. In contrast, a Remote Data Analyst primarily analyzes data to inform business decisions. While both roles require strong analytical skills and related credentials, their work environments and industry applications differ significantly.

What are popular job titles related to Remote Computer Science Research Assistant jobs in Cleveland, OH?

For Remote Computer Science Research Assistant jobs in Cleveland, OH, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science Research Assistant jobs in Cleveland, OH look for?

The top searched job categories for Remote Computer Science Research Assistant jobs in Cleveland, OH are:

What cities near Cleveland, OH are hiring for Remote Computer Science Research Assistant jobs?

Cities near Cleveland, OH with the most Remote Computer Science Research Assistant job openings:

Public Notice - Research Computer Scientist (Direct Hire)

Cleveland, OH • On-site, Remote

$90K - $144K/yr

Full-time

Posted 6 days ago


Job description

Summary
Positions to be filled are in various organizations at the following NASA Centers - Langley Research Center and Glenn Research Center. NASA may fill positions in any of the following series and at any grade level listed in this announcement (GS-1550 at the GS-12/13). These positions focus on research and development in computer science and related computational disciplines.
Learn more about this agency
Duties
Help
  • Duties described below are at the highest grade advertised. Duties assigned at lower grade levels will be of more limited scope, performed with less independence and limited complexity; duties will be commensurate with the grade of selected employee.
  • Directs quantitative research activities across organizational boundaries and provides authoritative guidance to senior officials on highly complex mathematical, statistical, and computational investigations.
  • Leads and conducts advanced quantitative research involving mathematical modeling, statistical inference, algorithm development, simulation, and analysis of mission-critical datasets.
  • Develops novel analytical approaches, validates methodological assumptions, and drives data-derived insights using expert mathematical judgment.
  • Advise executive leadership and program managers on the implications of research findings, statistical risks, predictive trends, and analytical uncertainty. Represent the organization in research panels, technical boards, and interagency forums.
  • Develops and approves analytical standards, research protocols, statistical methodologies, and mathematical formulation requirements at the program or enterprise level.
  • Authors rigorous technical reports, statistical assessments, and research publications that guide senior leadership decisions and future analytical strategies.
  • Provides mentorship and technical leadership across experience levels in mathematics, statistics, and computational science.
  • Serves as a recognized quantitative research authority, enhancing organizational analytical capability and long-term workforce development in quantitative disciplines.
  • Represents the organization in analytics-focused research collaborations with contractors, academia, partner agencies, and external scientific groups.
  • Leads formal analytical reviews, independent research teams, and multidisciplinary investigative groups requiring senior-level mathematical and statistical expertise.

Requirements
Help
Conditions of employment
  • This position is open to U.S. citizens, nationals or those who owe allegiance to the U.S.
  • This position may require a one-year probationary period. If selected, the requirement to serve such period will be determined by Title 5 of the Code of Federal Regulations, Part 11. **See Additional Information section**
  • You must meet qualifications requirements by the closing date of this announcement.
  • Position subject to pre-employment background investigation or higher-level clearance. Investigation/Clearance may differ and be required based on the duty location/NASA Center requirements.
  • Financial Disclosure, Drug Testing, and/or the Travel Requirements for this position may differ and be required based on the duty location/NASA Center requirements.
  • To be considered for employment, you must submit your complete application by 11:59 PM ET on September 8, 2026.

Qualifications
In addition to the Basic Education Requirement (in the Education section below), to qualify for this position you must meet the requirements below. Specialized experience is experience that has equipped you with the particular ability, skill, and knowledge to successfully perform the duties of this position and is typically in or related to this line of work.
NASA utilizes OPM-approved qualification and rating requirements specific for Aerospace Technology (AST) positions which recognizes NASA's unique aerospace work. The specific qualifications and minimum education requirements are further described below and within the education section of the job announcement.
Vacant research positions may be filled at one of several grade levels depending upon the scientific impact of the person selected. A review may be required to determine the appropriate grade level of the position and supplemental materials may be required from the selectee. Please keep this in mind when indicating the lowest grade you will accept. If selected at the lower grade level, your scientific impact will be examined in addition to other factors, to determine if you are eligible for promotion.
To qualify for GS-12, you must have:
a) One year of directly related specialized experience equivalent to the GS-11 level:
  • Conducting complex quantitative research requiring advanced mathematical or statistical methodologies;
  • Serving as an analytical authority on moderately complex quantitative topics;
  • Collaborating with multidisciplinary analytical or scientific teams.

OR
b) Completed all requirements for a doctoral degree (i.e., Ph.D. or equivalent) in an appropriate field.
To qualify for GS-13, you must have one year of directly related specialized experience equivalent to the GS-12 level:
  • Serving as a recognized quantitative research authority for complex mathematical, statistical, or computational problems;
  • Developing advanced analytical techniques, research-grade algorithms, or mathematical models;
  • Integrating multi-source quantitative findings to support scientific or programmatic decisions.

Your resume must include a clear and detailed narrative description, in your own words, of how you meet the required specialized experience. Experience statements copied from a position description, vacancy announcement or other reference material constitutes plagiarism and may result in disqualification and losing consideration for the job.
Please visit https://www.nasa.gov/careers/how-to-apply/#Artificial-Intelligence to review NASA's guidance on the use of artificial intelligent (AI) or AI-assisted tools during the application process.
Required college majors for applicants qualifying on the basis of graduate education only (GS-12 research):
Code 735 Data: Computer Engineering. Other majors will qualify if the major includes or is supplemented as follows: a. Computer Science and Pure Mathematics are fully qualifying for Data Analysis, Modeling and Theoretical Simulation Techniques positions without further course requirements. For Data Systems, Hardware Systems and Software Systems positions, Computer Science and Pure Mathematics are qualifying if the major includes or is supplemented by 12 semester hours (or the equivalent) in appropriate Physical Science or Engineering courses and includes or is supplemented by at least two courses shown under "b.2." b. Applied Mathematics is qualifying if includes or is supplemented by at least two of the following courses: 1. For Data Analysis, Modeling and Theoretical Simulation Techniques: numerical methods (or numerical analysis); linear algebra, theory of equations, differential equations, mathematical statistics (if six semester hour course), operating systems, theory of computation, computer networks, programming languages, data structures, data base management, computer graphics, compiler construction, computer architecture, software engineering. 2. For Data Systems, Hardware Systems and Software Systems: electronics, electrical networks, solid-state physics (for transistors, tapes, etc.), optics (for simulation), electricity and magnetism, computer organization, logic design, control systems, communication theory. c. Other appropriate physical science and engineering majors are qualifying if the major includes or is supplemented by six semester hours (or the equivalent) in Mathematics beyond Basic Calculus and includes or is supplemented by at least two courses shown above under "b."
Promotion Potential: The full performance level (FPL) will vary based on the position in which the selectee is placed and does not default to the highest grade advertised.
Education
This position requires education or exceptional experience
Basic Education Requirement: You must have successfully completed a bachelor's degree with a major in one of the following:
a) Engineering from a college or university that has ABET accredited engineering programs
b) Physical Science, Mathematics, Life Science or other field of Science
c) Computer Science that included 30 semester hours or 45 quarter hours of course work in any combination of mathematics, statistics and computer science with at least half of those hours in mathematics and statistics courses that included differential and integral calculus; and that provided an in-depth knowledge of theoretical and practical applications of computer science, including digital computer system architecture and system software organization, the representation and transformation of information structures, and the theoretical models for such representations and transformations.
If you did not complete a qualifying bachelor's degree, you may be eligible if you have obtained a graduate degree in an AST qualifying field, as listed above.
Applicants who do not fully meet the basic education requirement may still be considered if they possess exceptional relevant experience, or a combination of education and experience, that clearly demonstrates significant full performance-level achievement directly related to the duties of this position.
Engineering degrees earned within the United States: Engineering degrees earned within the United States must be from a college or university that has at least one ABET accredited engineering program. To find out if a school has at least one ABET accredited program, please visit http://www.abet.org.
Engineering degrees earned outside the United States: Engineering degrees earned outside the United States must be recognized by a Mutual Recognition Agreement (MRA), often known as accords. These are non-governmental agreements among organizations that accredit academic degree programs. MRAs recognize the substantial equivalence of mature accreditation systems and programs accredited by signatory organizations within their jurisdictions. For a listing of Signatories, please visit, https://www.abet.org/global-presence/mutual-recognition-agreements/is-your-program-recognized/.
Science and other related degrees earned within the United States: Science and other related degrees must have been awarded from colleges or universities that are accredited by recognized accrediting organizations. For a list of schools that meet this criteria, go to http://ope.ed.gov/accreditation/.
Science and other related degrees earned outside the United States: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs. These education credentials must be deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/.
All degrees must have been received in the year of, or any year subsequent to the original date of accreditation.
Additional information
In the Announcement Questionnaire, you will be prompted to select the location and lowest grade you wish to be considered for.
Additional selections may be made for similar positions across NASA within the local commuting area(s) of the location(s) identified in this announcement. By applying, you agree to have your application shared with interested selecting official(s) within NASA. CTAP/ICTAP will be cleared for any additional selection from this announcement.
If you have special priority selection rights under the Agency Career Transition Assistance Program (CTAP) or the Interagency Career Transition Assistance Program (ICTAP), you must:
- Indicate your eligibility when applying for a position. The questionnaire asks you to identify your ICTAP/CTAP eligibility.
- Be well qualified for this position to receive consideration. Candidates rated in the 'Best Qualified' category are considered well-qualified. Please see 'How You Will Be Evaluated' for more information.
- Submit proof that you meet the requirements for CTAP/ICTAP as indicated in 'Required Documents.'
For additional information about CTAP/ICTAP eligibility, click here - https://www.opm.gov/policy-data-oversight/workforce-restructuring/employee-guide-to-career-transition/#ictap.
Any applicant that received a Voluntary Separation Incentive Payment (VSIP) from the federal governmentwithin the last five years based of the closing date of this announcement, if selected, may be required to repay the full amount prior to establishing a start date. For additional information on the VSIP repayment requirement, click here - https://www.opm.gov/policy-data-oversight/workforce-restructuring/voluntary-separation-incentive-payments/.
Per Executive Order 14343, this position is not part of a bargaining unit.
Probationary Period
You may be required to serve a one-year probationary period during which we will evaluate your fitness and whether your continued employment advances the public interest. If selected, the requirement to serve such period will be determined by Title 5 of the Code of Federal Regulations, Part 11.
In determining if your employment advances the public interest, we may consider:
  • your performance and conduct;

  • the needs and interests of the agency;

  • whether your continued employment would advance organizational goals of the agency or the Government; and

  • whether your continued employment would advance the efficiency of the Federal service.

Upon completion of your probationary period you