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Remote Computer Science Research Assistant Jobs in Washington, DC

DCG

Social Scientist

Washington, DC · Remote

Location Fully Remote; the selected candidate will work during DCG's core Eastern Standard Time ... Support and implement social science research tasks of moderate to high technical complexity

Geico

Staff Applied Research Scientist

Bethesda, MD · On-site +1

BSin Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field ... Research experience in computer science, statistics, machine learning, operations research, or ...

Peraton

Summer 2026 Research Intern

Reston, VA · On-site +1

$25/hr

... remote for qualified candidates . Join our Federal Civilian Sector Chief Technologist Office and ... Coursework or personal interest in computer science, data science, engineering, or a related ...

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Remote Computer Science Research Assistant information

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$35

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

As of Jun 9, 2026, the average hourly pay for remote computer science research assistant in Washington, DC is $24.81, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $28.85 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, and why are they important?

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.

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.

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 are popular job titles related to Remote Computer Science Research Assistant jobs in Washington, DC? For Remote Computer Science Research Assistant jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Research Assistant jobs in Washington, DC look for? The top searched job categories for Remote Computer Science Research Assistant jobs in Washington, DC are:
Remote Computer Science Research Assistant jobs near you
Data Scientist with Security Clearance

Data Scientist with Security Clearance

Elder Research

Arlington, VA • On-site, Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh Posting Date 05/08/2026 Security Clearance Required - NONE Remote Type Hybrid Time Type Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH International Corporation, seeks a motivated, career and customer-oriented Data Scientist to join our team in Raleigh, NC or Washington DC. This role is hybrid, and candidates must be located in the Raleigh or Washington, DC market to support 1–2 days onsite per week. This role is for a highly experienced and curious data scientist to lead the full-lifecycle development and deployment of analytical solutions at Elder.

You will operate as a critical member of an analytics team, acting as a trusted advisor to diverse client partner team. The focus is on leveraging advanced analytical methods to turn ambiguous business challenges into high-impact, production-ready models, supported by robust data engineering practices. Responsibilities include but are not limited to: * Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying expertise in areas such as time series forecasting and Natural Language Processing (NLP) to build, train, and maintain predictive models.

Additionally, candidate should be capable of leading and mentoring more junior data scientists. * Problem Solver and Consultant: Engage in critical requirements gathering and data "sleuthing" (approximately 10-20% of the role) to connect business use cases with underlying data patterns. You will carve your own path to define and solve problems that lack clear initial definitions.

* Deliver Automation and Insights: Partner with technical and non-technical groups to identify manual processes and provide recommendations for automation, including building models for functions like anomaly detection and case prediction. * Full-Lifecycle Ownership: Utilize data engineering skills to integrate and deploy your analytical solutions, ensuring scalability and operational reliability. This includes troubleshooting deployment issues as needed.

* Collaborate and Communicate: Interface with internal teams and external client stakeholders to effectively communicate technical findings, maintain strong relationships, and ensure delivery aligns with overall objectives. Minimum Qualifications: * 5+ years of experience as a Data Scientist. * Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * Proficiency in Python, including libraries for data analysis and modeling.

* Strong SQL experience to facilitate deep dives and analysis of complex datasets. * Strong hands-on experience with AWS services, Sagemaker, Lambda, Step Functions, Glue, S3, and Athena, used to build and manage production data pipelines. * Knowledge of CI/CD pipelines, version control (Git), and Infrastructure-as-Code.

* Familiarity with logging, monitoring, and alerting using CloudWatch or similar tools. * Understanding of IAM roles, policies, and security best practices for AWS services. * Curiosity and a passion for exploring data to understand business context and connect technical work to real-world impact.

* Willingness to learn new tools/techniques. Preferred Qualifications: * Familiarity with AWS Cloud Development Kit (CDK) and/or Typescript. * Exceptional comfort with ambiguity and a proven ability to define and drive projects from vague concepts to concrete outcomes.

* Strong consultative and communication skills, capable of representing the team effectively to clients. * Ability to work autonomously in a fully remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM) About Elder Research, Inc - People Centered.

Data Driven Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation. If you need a reasonable accommodation to apply for a position with Elder Research, please email us at and provide your name and contact information.

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