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

Whether your background is in social science research, product and analytics, or a more technical ... A BS degree in a quantitative or analytical field (data science, computer science, statistics ...

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Computer Science Research information

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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:

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.

Associate Research Scientist (PREP0004940)

The Chronicle Of Higher Education, Inc.

Gaithersburg, MD • On-site

$90 - $130/hr

Other

Medical, Life, Retirement

Posted 5 days ago


Job description

Johns Hopkins, founded in 1876, is America's first researchuniversity and home to nine world-class academic divisions workingtogether as one university.

Johns Hopkins University: Whiting School of Engineering: Office ofResearch and Translation

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:

Data Scientist / Computer Scientist – Standardized AI-Ready DatasetFrameworks for AI-Based Radio Access Networks (AI-RAN)

NIST seeks an experienced researcher to support the development of standardized frameworks for "AI-ready" datasets in the Radio Access Network (RAN), in support of U.S. leadership in 6G standardization. The successful candidate will survey existing wireless data repositories and relevant standard activities, participate in multi-modal measurement campaigns, and develop technical guidelines for AI-ready RAN dataset creation. The candidate is expected to convey the results of their work through a NIST Technical Note and contribute to standards bodies such as the AI-RAN Alliance, O-RAN Alliance, and 3GPP.

U.S. Citizen Preferred Key responsibilities will include but are not limited to:
  • Survey existing multi-modal wireless data repositories and standards activities to assess AI-readiness and identify gaps, limitations, and potential enhancements.
  • Support Integrated Sensing and Communication (ISAC) measurement campaigns to capture, synchronize, and label RF, LiDAR, and camera data.
  • Develop data processing pipelines to evaluate and compare dataset formats for AI/ML applications.
  • Co-author a NIST Technical Note on guidelines for creating standardized AI-ready RAN datasets.
  • Develop contributions to standards bodies and industry consortia, and ensure outputs are publicly disseminated through proper NIST processes.
Qualifications
  • Master’s or Ph.D. degree in data science, computer science, computer engineering, electrical engineering, or a closely related field.
  • 1+ years of relevant experience in the design, collection, and processing of large-scale multi-modal datasets, preferably in wireless communications or AI/ML applications.
  • 1+ years of relevant experience with modern data engineering tools and frameworks (e.g., Python, PyTorch/TensorFlow, MATLAB, or similar) to enable data acquisition, storage, labeling, and analysis.
  • Familiarity with wireless communications systems, including RF signal processing concepts such as I/Q samples, channel state information (CSI), and power delay profiles.
  • Strong oral and written communication skills, with the ability to contribute to technical reports and standards documents.
Additional Desirable Skills, Expertise and Qualifications:
  • Experience with multi-modal sensing systems, including LiDAR, camera, and radar data collection and synchronization.
  • Familiarity with the Findable Accessible Interoperable and Reusable (FAIR) data principles, public data repositories, data schemas, versioning, and open dataset documentation practices.
  • Experience with GPU-accelerated hardware platforms and software engineering including NVIDIA GPUs and CuPy/CUDA/C++ programming.
  • Familiarity with 5G/6G wireless standards and AI/ML integration frameworks being developed by 3GPP, O-RAN Alliance, or the AI-RAN Alliance.
  • Experience with Integrated Sensing and Communication (ISAC) use cases such as object detection, human detection, or drone tracking. Experience in authoring research publications and presentations documenting results of experiments, modeling, and analysis research.
Privacy Act Statement

Authority: 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 purposes stated.

Equal Employment Opportunity Statement Salary Range

The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.

Total Rewards

Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/.

Equal Opportunity Employer

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristics. The University is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors or demographic characteristics that are irrelevant to the program involved.

Pre-Employment Information

If you are interested in applying for employment with Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations at Johns Hopkins University for disabilities, medical conditions (including medical conditions related to pregnancy or childbirth), accessibility, or religious reasons, please visit accessibility.jhu.edu.

Background Checks

After receiving a conditional offer, the successful candidate(s) for this position will be subject to a pre-employment background check including education verification. When deciding whether a candidate’s conviction history is job-disqualifying, the University considers the nature and gravity of the offense, the time that has passed since the conviction, and the nature of the job being sought.

EEO is the Law

https://www.eeoc.gov/employees-job-applicants

Vaccine Requirements

Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. This changed does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. We still require all faculty, staff, and students to receive the seasonal flu vaccine.

Exceptions to the seasonal flu vaccine or COVID-19 vaccine (for SOM) requirement(s) may be provided to individuals with sincerely held religious beliefs or medical conditions that preclude them from receiving the vaccine. Requests for an exception must be submitted to the JHU vaccination registry. For additional information, applicants for SOM positions should visit https://www.hopkinsmedicine.org/coronavirus/covid-vaccine/ and all other JHU applicants should visit https://covidinfo.jhu.edu/health-safety/covid-vaccination-information/.

The following additional vaccine requirements may apply,depending upon your campus. Please contact the hiring department for more information.

The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those candidates who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

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