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Computer Science Research Jobs in Virginia (NOW HIRING)

US Department of the Air Force

$76K/yr

Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination ... Providing technical guidance in planning, coordinating, and evaluating proposed research projects ...

Prescient Edge

Senior Computer Scientist

Chesapeake, VA · On-site

$130K - $190K/yr

Job Title Senior Computer Scientist Location Norfolk, VA 23324 US (Primary) Category Research, Development, and Engineering Job Type Full-Time Career Level Staff Education Master's Degree Travel ...

Cherokee Federal

Computer Scientist - Mid

Reston, VA · On-site

$145K - $160K/yr

... research, and contribute to the Defense Industry Enterprise's integrated all-source analysis of ... Employs mathematics, statics, information science, artificial intelligence, machine learning ...

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Computer Science Research information

What is a computer science research?

A Computer Science Research job involves investigating fundamental and applied problems in computing to develop new algorithms, technologies, or theories. Researchers work in academia, industry, or government labs, focusing on areas such as artificial intelligence, cybersecurity, and data science. They conduct experiments, publish findings, and collaborate with other experts to advance the field.

What are the typical daily responsibilities of someone working in computer science research?

Professionals in Computer Science Research spend their days designing and conducting experiments, analyzing data, reviewing current literature, and developing new algorithms or models. They often collaborate with cross-functional teams, including other researchers, engineers, and sometimes product managers, to advance the understanding or application of emerging technologies. A significant portion of their work also involves writing and presenting research papers, prototyping solutions, and occasionally mentoring students or junior team members. The role is dynamic and involves both independent investigation and teamwork to solve complex technical problems.

What are the key skills and qualifications needed to thrive in computer science research, and why are they important?

Success in Computer Science Research requires a solid background in computer science theory, algorithms, mathematics, and typically a graduate degree such as a Master's or Ph.D. in a relevant field. Familiarity with programming languages (such as Python, Java, or C++), research tools (e.g., MATLAB, TensorFlow), and publishing research in peer-reviewed venues is highly valuable. Strong analytical thinking, problem-solving, written communication, and collaboration skills allow researchers to effectively explore novel ideas and present their findings. These competencies are critical for advancing technology, contributing original research, and working effectively in academic or industry research environments.

How to become a computer science researcher?

To become a computer science researcher, typically a candidate needs a strong foundation in computer science through a bachelor's degree, followed by advanced education such as a master's or Ph.D. in a specialized area. Developing skills in programming, data analysis, and research methodologies, along with publishing research papers and gaining experience through internships or research projects, is essential.

What are the top 3 jobs with a computer science research degree?

Computer science research degrees often lead to roles such as research scientist, data scientist, and software engineer. These positions typically require strong analytical skills, programming knowledge, and familiarity with machine learning, algorithms, or data analysis tools. They are common in academia, tech companies, and research institutions.

What does a computer science researcher do?

A computer science researcher investigates and develops new algorithms, theories, and technologies related to computing. They often work in academic or industry labs, analyzing data, designing experiments, and publishing findings to advance the field. Strong programming skills and knowledge of research methodologies are essential for this role.

What kind of research can you do in computer science research?

Computer science research involves exploring areas such as algorithms, artificial intelligence, machine learning, cybersecurity, data science, software engineering, and human-computer interaction. Researchers often work on developing new technologies, improving existing systems, and solving complex computational problems using programming languages, data analysis tools, and experimental methods.

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

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

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

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

What job categories do people searching Computer Science Research jobs in Virginia look for?

The top searched job categories for Computer Science Research jobs in Virginia are:

What cities in Virginia are hiring for Computer Science Research jobs?

Cities in Virginia with the most Computer Science Research job openings:

Computer Science Research jobs near you
Infographic showing various Computer Science Research job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Applied Economist / Data Science Research Analyst

University of Virginia

Charlottesville, VA • On-site

$60K - $80K/yr

Full-time

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

University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

210th of 622 rated colleges and universities

Job description

The Weldon Cooper Center (CEPS) seeks an Applied Economist / Data Science Research Analyst with strong quantitative, programming, and data management skills to support applied policy work in regional economics, economic forecasting, and public-sector research. The position will also support the use of modern data science and AI-assisted methods to organize, classify, and extract information from large collections of documents and unstructured data for use in databases and economic modeling. The position is intended for an early-career professional who is interested in applying data science and economic analysis to real-world policy questions and who can grow into greater analytical independence over time.
We encourage recent graduates or early-career professionals with strong technical skills and demonstrated interest in applied economic or policy analysis to apply.
Responsibilities
• Support the development and maintenance of data pipelines, including data collection, automated data processing, and web scraping where appropriate.
• Clean, structure, validate, and integrate large and complex datasets from multiple sources.
  • Use programming, AI-assisted tools, and natural language processing approaches, where appropriate, to help organize, classify, and extract information from large collections of documents and unstructured data.

• Conduct exploratory data analysis, descriptive statistics, data validation checks, and preliminary diagnostics.
• Support applied economic modeling, including input-output analysis, regional economic analysis, local tax analysis, forecasting, and related quantitative methods.
• Prepare data visualizations, tables, maps, dashboards, and summary outputs to support reports and presentations.
• Contribute to internal databases, analytical tools, documentation, and reproducible workflows.
• Draft sections of reports, memos, and presentations and communicate findings clearly to academic, non-academic, and policy-relevant audiences.
Minimum Qualifications
  • Education: Bachelor's degree in economics, data science, public policy, statistics, computer science, or a related field required.

Preferred Qualifications
  • Experience with web scraping, APIs, or automated data collection.
  • Experience using AI-assisted tools, natural language processing, large language models, or related methods to process, classify, summarize, or structure text-based information.
  • Experience working with large collections of documents, public records, regulatory filings, reports, or other unstructured data sources.
  • Familiarity with tools such as IMPLAN, EViews, REMI, or similar.
  • Experience with GIS tools such as ArcGIS, QGIS, or similar.
  • Experience building data tools, dashboards, or visualization products.
  • Familiarity with Power BI, Tableau, Shiny, Dash, or similar visualization platforms.
  • Interest or experience in regional economic, energy or environmental policy is a plus.
  • Experience contributing to policy reports, academic research, technical documentation, or public-facing analytical products.

Knowledge, Skills & Abilities
  • Strong programming skills with Python, R, or a similar language.
  • Familiarity with AI-assisted workflows, natural language processing, large language models, or related tools for organizing and analyzing structured and unstructured data.
  • Experience with data cleaning, transformation, validation, and documentation.
  • Ability to conduct exploratory and descriptive data analysis.
  • Interest in applied economic methods, including input-output analysis, regional analysis, econometrics, or forecasting.
  • Strong written communication skills, including the ability to translate technical results into clear, policy-relevant insights.
  • Proficiency in Excel for data handling, validation, and review.
  • Ability to write clear, structured, and well-documented code.
  • Willingness to learn new methods, software, and project-specific tools under guidance.

Physical Demands
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.
Salary Range
  • The anticipated hiring range is $60,000 - $80,000, commensurate with education and experience.

Position Type & Work Location
  • This is an exempt-level, benefited position. Learn more about UVA benefits .
  • This is a restricted position, which is dependent on funding and is contingent upon funding availability.
  • This position is based in Charlottesville, VA, and must be performed fully on-site.

About UVA and the Community
To learn more about UVA and in the Charlottesville area, visit UVA Life and Embark CVA .
Application Timeline
Application must be received by August 21, 2026.
Additional Requirements
  • Background checks will be conducted on all new hires prior to employment.

How to Apply
Please apply online , by searching for requisition number R0085962. Internal applicants may search and apply for jobs on the UVA Internal Careers website . Complete an application with the following documents:
  • Resume
  • Cover Letter

Upload all materials into the resume submission field. You can submit multiple documents into this one field or combine them into one PDF. Applications without all required documents will not receive consideration.
Reference Check Process
Reference checks will be completed by UVA's third-party partner, SkillSurvey, during the final phase of the interview. Five references will be requested, with at least three responses required.
Contact
  • For questions about the position, please contact Joao Pedro Ferreira, brn3wh@virginia.edu.
  • For questions about the application process, please contact Melanie Sponaugle, unw5dq@virginia.edu .

The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819

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