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Computer Science Research Jobs in Bethesda, MD (NOW HIRING)

Rackner

Computer Science Internship

College Park, MD · On-site

$19 - $25/hr

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... You will be involved in research, development, and problem-solving, helping to shape the future of ...

Rackner

Computer Science Internship

College Park, MD

$19 - $25/hr

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... You will be involved in research, development, and problem-solving, helping to shape the future of ...

Rackner

Computer Science Internship

College Park, MD

$19 - $25/hr

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... You will be involved in research, development, and problem-solving, helping to shape the future of ...

GAP Solutions, Inc

Computer Scientist (51337)

Rockville, MD · On-site

$200K - $225K/yr

Provide services as a Computer Scientist in support of the overall functions of the National Center ... Research existing and new technologies used in medicine and scientific research to evaluate how it ...

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Computer Science Research information

See Bethesda, MD salary details

$12

$23

$39

How much do computer science research jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for computer science research in Bethesda, MD is $23.78, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $25.48 per hour, depending on experience, location, and employer.

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 popular job titles related to Computer Science Research jobs in Bethesda, MD?

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

What job categories do people searching Computer Science Research jobs in Bethesda, MD look for?

The top searched job categories for Computer Science Research jobs in Bethesda, MD are:

Computer Science Research jobs near you
Infographic showing various Computer Science Research job openings in Bethesda, MD as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 75% Physical, 2% Hybrid, and 23% Remote job distribution, with an average salary of $49,469 per year, or $23.8 per hour.

NIST PREP Research Associate in Computer Science and AI

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$20 - $24/hr

Part-time

Posted 7 days ago

Job description

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title: Computer Scientist ZP-II/NIST GenAI program
The work will entail: This position involves providing development support for various activities in the Information Access Division at the National Institute of Standards and Technology (NIST). Specifically, the work will support NIST GenAI evaluation series (https://ai-challenges.nist.gov/genai).
The candidate will contribute to the development of AI evaluations that support evaluation series in various modalities (such as text, voice, image, video, and code) under the NIST GenAI program. This role includes contributing to implementation of an evaluation infrastructure, designing a database schema, and performing related evaluation tasks. The candidate will also provide technical expertise in activities related to deepfakes (image, audio, and video), which include creating a project plan, developing and distributing specialized tools, generating evaluation data, and conducting evaluation series. Additionally, they will contribute to reports that align with the program's objectives. The candidate will actively participate in NIST measurement science and engage in cutting-edge research and evaluation in the field of Generative AI technologies.
U.S. citizen preferred
Key responsibilities will include but are not limited to:
  • Installing, developing and deploying software for executing AI and ML based systems, with a large dataset on a GPU-accelerated cluster
  • Conducting image/audio/video evaluation series in advancing generative AI technologies
  • Conducting experimental design and dataset curation
  • Developing baseline algorithms in generative AI
  • Upgrading, maintaining, and continuously developing existing NIST GenAI software and evaluation infrastructure
  • Managing data, such as querying and translating data formats/specifications
  • Designing and deploying agentic AI evaluation metrics and frameworks to assess agent performance, dynamic planning, tool use accuracy, and error recovery behaviors in complex multi-step workflows as well as multi-agent systems
  • Developing standardized baseline agent architectures to serve as control benchmarks within the NIST GenAI framework

Qualifications:
  • Strong proficiency in a mainstream programming language used in scientific and networking domains such as Python, Java, Java Script, ruby, R, C, C++ or Rust.
  • Basic proficiency with networking technologies and REST based applications
  • Proficiency in shell scripting (Bash, Zsh, etc.)
  • Basic proficiency with virtualization and cloud technology stacks (f.e. docker, compose, kubernetes, AWS)
  • Computer Vision and Signal Processing fundamentals (f.e. audio preprocessing, morphological filters)
  • Scientific Data Visualization and Analysis fundamentals
  • Practical experience with agentic design patterns and modern orchestration frameworks
  • Familiarity with structured output enforcement (JSON Schema), dynamic tool interfaces, and emerging interoperability standards (e.g., Model Context Protocol / MCP)
  • Familiarity with agentic evaluation frameworks and benchmarks for autonomous performance
  • Mastery of the principles, practices, methods in a specialty of a technical professional field (in science, computer science, software engineering, information technology, mathematics, or related field)

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0005263

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