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Digital Research Assistant Jobs in Virginia (NOW HIRING)

Research Assistant - MCU/CDET

Quantico, VA · On-site

$20.75 - $28.50/hr

Maintain an organized digital and physical filing system for research documents, data, and resources. * Assist in developing research instruments, such as surveys and interview guides, to support ...

Research Assistant - MCU/CDET

Quantico, VA · On-site

$20.75 - $28.50/hr

Maintain an organized digital and physical filing system for research documents, data, and resources. * Assist in developing research instruments, such as surveys and interview guides, to support ...

Research Assistant - MCU/CDET

Quantico, VA · On-site

$20.75 - $28.50/hr

Research Assistant Marine Corps University (MCU) / College of Distance Education and Training (CDET ... Maintain an organized digital and physical filing system for research documents, data, and ...

... and assist our Account Managers in handling a variety of client tasks. The purpose of this ... Ability to bridge data analysis, research, competitive intelligence, and marketing savvy to build ...

... and assist our Account Managers in handling a variety of client tasks. The purpose of this ... Ability to bridge data analysis, research, competitive intelligence, and marketing savvy to build ...

Conduct keyword research, optimize website content, and assist with SEO strategies. * Create and ... Stay up to date with the latest digital marketing trends and best practices. What We're Looking For

Conduct keyword research, optimize website content, and assist with SEO strategies. * Create and ... Stay up to date with the latest digital marketing trends and best practices. What We're Looking For

Conduct keyword research, optimize website content, and assist with SEO strategies. * Create and ... Stay up to date with the latest digital marketing trends and best practices. What We're Looking For

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Showing results 1-20

Digital Research Assistant information

What is a digital research assistant?

A Digital Research Assistant is a professional who supports research projects by using digital tools and resources to collect, organize, analyze, and present data. They often work in academic, corporate, or nonprofit settings, assisting researchers with tasks such as literature reviews, data entry, online surveys, database management, and report preparation. Their role requires strong digital literacy skills, attention to detail, and the ability to efficiently find and evaluate information online. Digital Research Assistants help streamline the research process and ensure that data is accurate and accessible. They are essential for projects that rely heavily on digital information and technology.

How does a digital research assistant typically collaborate with other team members during a project?

As a Digital Research Assistant, you'll often work closely with researchers, project managers, and data analysts. Collaboration typically involves gathering and synthesizing digital data, sharing findings in team meetings, and contributing to reports or presentations. You'll likely use collaborative tools such as shared drives, project management software, and communication platforms to coordinate tasks and ensure accuracy. Effective communication and responsiveness are key to maintaining smooth workflows and supporting team objectives.

What are the key skills and qualifications needed to thrive as a digital research assistant, and why are they important?

To thrive as a Digital Research Assistant, you need strong analytical skills, attention to detail, and proficiency in online research, typically supported by a relevant degree such as in social sciences or information studies. Familiarity with data management systems, digital libraries, content management tools, and sometimes citation software like EndNote or Zotero is important. Excellent written communication, organizational abilities, and problem-solving skills help you efficiently process and present findings. These skills are crucial for delivering accurate, reliable research outcomes that support organizational goals and decision-making.

What is the difference between Digital Research Assistant vs Data Analyst?

AspectDigital Research AssistantData Analyst
Required CredentialsAssociate degree or relevant certifications, basic research skillsBachelor's degree in data science, statistics, or related field
Work EnvironmentResearch labs, academic institutions, or corporate research teamsBusiness, finance, healthcare, or tech companies
Employer & Industry UsageAcademic, research organizations, and some corporate R&DVarious industries analyzing data for decision-making
Common Search & ComparisonOften compared for research support rolesMore focused on data analysis and interpretation

The Digital Research Assistant and Data Analyst roles share some overlap in research and data handling but differ mainly in focus and required skills. Digital Research Assistants typically support research projects with basic data collection and literature review, while Data Analysts interpret complex data sets to inform business decisions. Understanding these differences helps job seekers identify the right role based on their skills and career goals.

How much does a digital research assistant get paid?

The average salary for a digital research assistant ranges from $35,000 to $55,000 per year, depending on experience, location, and the organization. Entry-level positions may start lower, while those with specialized skills or advanced certifications can earn higher wages.

How to become a digital research assistant?

To become a digital research assistant, candidates typically need strong research skills, proficiency with online tools and databases, and good communication abilities. A bachelor's degree in a relevant field such as information science, communications, or social sciences is often preferred, along with experience using research software and data analysis tools.

What qualifications do I need to be a digital research assistant?

To become a digital research assistant, candidates typically need a bachelor's degree in fields like communications, information science, or related areas. Strong research skills, proficiency with online research tools, and familiarity with data management software are also important qualifications.

What are popular job titles related to Digital Research Assistant jobs in Virginia?

For Digital Research Assistant jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Digital Research Assistant jobs in Virginia look for?

The top searched job categories for Digital Research Assistant jobs in Virginia are:

What cities in Virginia are hiring for Digital Research Assistant jobs?

Cities in Virginia with the most Digital Research Assistant job openings:

Research Assistant Professor

George Mason University

Fairfax, VA • On-site

Other

Re-posted 10 days ago


George Mason University rating

8.3

Company rating: 8.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

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Job description

Research Assistant Professor
  • 10003688
  • Research Faculty
  • Opening on: Jan 26 2026
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Department: College of Science

Classification: 12-month Research Faculty

Job Category: Research Faculty

Job Type: Full-Time

Work Schedule: Full-time (1.0 FTE, 40 hrs/wk)

Location: Remote

Workplace Type: Remote Eligible

Sponsorship Eligibility: Eligible for visa sponsorship

Salary: Salary commensurate with education and experience

Restricted: Yes

Criminal Background Check: Yes

About the Department:

The Center for Spatial Information Science and Systems (CSISS) is an interdisciplinary research center affiliated with the College of Science at George Mason University. The mission of the Center is to conduct world-class research in spatial information science and system and provide state-of-art research training to post-doctoral fellows, Ph.D. and Master students in the field. For more information about the center, please visit http://csiss.gmu.edu/.
George Mason University College of Science (Mason Science) is committed to advancing inclusive excellence and fostering an environment free from discrimination, harassment, and retaliation throughout our STEM community. At Mason Science, our values include cultivating an organizational culture that promotes belonging, respect, and civility. We believe that varied opinions, cultures, and perspectives are what provides vibrancy, innovation, and growth to an academic community. By prioritizing cultural responsiveness in academics, teaching, research, and global engagement, we strive to attract faculty and staff who exemplify the Mason Science mission and vision.

About the Position:

This position is funded by a USDA-funded research project. The primary purpose of the position is to monitor the conditions of crop, pasture, and their growth environment to support agricultural decision making with advanced remote sensing and geospatial technologies.

Responsibilities:

  • Develops advanced Agro-geoinformatic algorithms for monitoring and predicting the conditions of crop, pasture, and their environment with advanced remote sensing and geospatial technologies;
  • Develops and refines algorithms and workflows for crop and pasture monitoring, modeling, prediction, and decision support and automation;
  • Supervises graduate research assistants and student interns working on the project; and
  • Publishes and disseminates research at top-tier journals and conferences.

Required Qualifications:

  • Terminal degree in a related field;
  • One-year post-Ph.D. research experience in related field at the time of appointment;
  • Research experience in agricultural remote sensing, crop and pasture modeling, or agricultural environment monitoring and prediction;
  • Knowledge of remote sensing, geospatial information systems, crop modeling and prediction, Agro-AI/ML, or agricultural digital twin; and
  • Knowledge of relevant programming skills.

Preferred Qualifications:

  • At least two-years post-Ph.D. research experience in related fields;
  • Track record that demonstrates the ability to work well with an interdisciplinary research team;
  • Excellent publication records;
  • Experience in large-scale earth observation analytics;
  • Experience in integrating multi-source remote sensing data with process-based or data-driven models to characterize agricultural and ecological systems;
  • Experience in applying advanced Artificial Intelligence/Machine Learning (AI/ML) methods in agriculture (Agro-AI/ML); and
  • Experience in programming with multiple languages (e.g., Java, C/C++, Python) for geospatial information systems, agro-informatic applications, agricultural monitoring and modeling, Agro-AI/ML, or digital twin.

Instructions to Applicants:

For full consideration, applicants must apply for the Research Assistant Professor at https://jobs.gmu.edu/. Complete and submit the online application to include three professional references with contact information, and provide a cover letter and CV for review.

Posting Open Date: January 26, 2026

For Full Consideration, Apply by: February 9, 2026

Open Until Filled: Yes


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