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Remote Computer Science Research Jobs (NOW HIRING)

The Pennsylvania State University

$39K - $49K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... We are looking for a current Penn State student with a background in computer science and ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... These faculty will complement a strong and growing cohort of researchers working at the interface ...

Digital Harbor Foundation

Research Scientist

Baltimore, MD · Remote

$120K - $150K/yr

... remote sensing and field data. This role specifically is for the internal development of data ... PhD in atmospheric science, geophysics, applied mathematics, computer science, or a closely related ...

Upswing

Online Computer Science Tutor

Durham, NC · On-site +1

$14 - $16/hr

This is a remote position that allows tutors to work at nearly any location with reliable access to ... computer science * Have access to reliable, high-speed Internet, a quiet, distraction-free ...

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Remote Computer Science Research information

What is remote computer science research?

Remote computer science research involves conducting studies, experiments, or theoretical work in computer science from a location outside of a traditional lab or office setting, typically from home or any place with internet access. Researchers use online collaboration tools, cloud computing resources, and virtual meetings to communicate with team members, access data, and share results. This setup allows for greater flexibility and can broaden participation in research projects across different geographic locations. The work may include areas such as artificial intelligence, cybersecurity, software engineering, or data science, and often requires strong self-motivation and excellent communication skills.

How do remote computer science researchers typically collaborate with teams and manage project progress?

Remote computer science researchers often collaborate using digital communication platforms such as Slack, Zoom, and collaborative coding tools like GitHub. Regular virtual meetings, shared documentation, and version control systems are essential for synchronizing efforts and tracking project milestones. While working remotely can offer flexibility, it also requires strong self-management and proactive communication to ensure research goals are met and team members stay aligned. Building rapport and maintaining open channels for feedback help address challenges and foster a productive, supportive research environment.

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

To excel as a Remote Computer Science Researcher, you need advanced knowledge in algorithms, data structures, and research methodologies, often supported by a master's or doctoral degree in computer science or a related field. Familiarity with programming languages (such as Python or C++), version control systems, and collaborative research platforms is typically required. Strong analytical thinking, self-motivation, and effective written communication are vital soft skills for independent work and sharing findings with the research community. These abilities are crucial for producing impactful research, collaborating remotely, and advancing knowledge in the field.

What is the difference between Remote Computer Science Research vs Remote Software Developer?

AspectRemote Computer Science ResearchRemote Software Developer
Required CredentialsAdvanced degrees (Master's/PhD), research experienceBachelor's or higher in CS, coding skills
Work EnvironmentAcademic or research institutions, labsTech companies, startups, freelance projects
Employer & Industry UsageUniversities, research labs, government agenciesSoftware firms, tech industry, consulting
Common Search & Comparison IntentResearch focus, academic rolesDevelopment projects, coding jobs

Remote Computer Science Research typically involves academic or research roles requiring advanced degrees and a focus on theoretical or experimental work. Remote Software Developers focus on building and maintaining software applications, often with coding skills and industry experience. While both roles involve computer science, their work environments, credentials, and industry applications differ significantly.

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What cities are hiring for Remote Computer Science Research jobs?

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

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States with the most job openings for Remote Computer Science Research jobs include:

What are popular job titles related to Remote Computer Science Research jobs?

For Remote Computer Science Research jobs, the most frequently searched job titles are:

Remote Computer Science Research jobs near you
Infographic showing various Remote Computer Science Research job openings in the United States as of September 2026, with employment types broken down into 56% Full Time, 33% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

Lead Analyst - Quantitative Social Science Research

Washington, DC • Remote

BETA Systems International
IT Services • 1 - 10 employees
Learn more about BETA Systems Internationalexternal

Contractor

Posted 3 days ago

New

Job description

Location: Remote
Employment Type: Contract / Project-Based
Anticipated Period: October 2026 – September 2027
Company: The Brandon Green Management Group (BGMG)
Project: Federal Correctional Officer Retention AnalysisPosition Summary

BGMG is seeking is seeking a Lead Analyst to lead quantitative analysis for a federal workforce research project examining correctional officer attrition and monetary retention incentives.
**This role is pending subject to contract award**

The Lead Analyst will lead statistical analysis using R, including regression analysis and quasi-experimental designs (QEDs). The work is expected to include discrete-time survival analysis and staggered difference-in-differences analysis. The analyst must be able to assess model assumptions, adjust analytic methods when needed, document code, and explain complex findings in plain language.

Key Responsibilities
  • Serve as technical lead for quantitative research and statistical analysis.
  • Refine and expand government-provided analysis plans.
  • Conduct descriptive analysis of correctional officer attrition using workforce and payroll data covering 2001–2026.
  • Examine how attrition risk changes over an employee's career.
  • Analyze individual and institution-level factors associated with attrition.
  • Conduct discrete-time survival analysis, including logistic regression where appropriate.
  • Analyze relationships between monetary retention incentives and attrition.
  • Conduct staggered difference-in-differences or other appropriate quasi-experimental analyses.
  • Examine dose-response relationships between incentive levels and attrition.
  • Assess interactions involving institution characteristics such as rurality and security level.
  • Evaluate model assumptions and adjust statistical methods when supported by the data.
  • Conduct sensitivity, diagnostic, and robustness analyses as appropriate.
  • Write clean, documented, reproducible R code.
  • Prepare shareable R code that allows DOJ to replicate analyses.
  • Interpret statistical results and limitations.
  • Draft technical findings for interim and final reports.
  • Translate complex quantitative results into concise, plain-language findings for decision makers.
  • Support development of presentation materials for non-technical audiences.
  • Provide technical leadership to supporting researchers and analysts.

The solicitation places specific emphasis on deep quantitative expertise and the ability to adjust analytic techniques based on the available data rather than simply executing a predetermined model.

Minimum Qualifications

Candidates must meet one of the following education paths:

  • Doctor of Philosophy (Ph.D.) in statistics, economics, or another quantitative social science from an accredited institution; or
  • Master’s degree in statistics, economics, or another quantitative social science plus three additional years of related professional experience above the minimum requirement.

Candidates must also have:

  • At least 5 years of professional experience in applied quantitative social science research.
  • Expertise writing R code.
  • Experience implementing regression analyses in the context of quasi-experimental designs.
  • Experience serving as a team leader.
  • Experience translating complex quantitative findings into plain-language, concise findings.
Preferred Qualifications
  • Workforce or labor research experience.
  • Difference-in-differences analysis experience.
  • Survival or event-history analysis experience.
  • Experience analyzing longitudinal workforce, payroll, or administrative data.
  • Experience with non-random treatment assignment and observational research designs.
  • Experience with U.S. Government-funded research.
  • Experience preparing reproducible analytical code and documentation.
  • Experience presenting statistical findings to non-technical decision makers.
Application Requirements

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