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$42

How much do computer science research jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for computer science research in Washington is $25.17, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $26.97 per hour, depending on experience, location, and employer.

What do you do as a computer science researcher?

A computer science researcher investigates and develops new algorithms, theories, and technologies related to computing. They often work in academic or industry labs, using programming, data analysis, and modeling skills to advance knowledge in areas like artificial intelligence, cybersecurity, or software engineering.

Can I make 200K with a computer science degree?

Computer science research roles can offer salaries around or above $200,000 annually, especially for experienced professionals, those working in high-demand fields like artificial intelligence or cybersecurity, or in senior positions. Achieving this level often requires advanced skills, a strong educational background, and sometimes certifications or specialized expertise.

Which has more salary, CS or AI?

In the field of computer science research, salaries for artificial intelligence (AI) specialists tend to be higher than general computer science roles due to the specialized skills and demand for AI expertise. AI researchers often require advanced knowledge of machine learning, deep learning, and data analysis, which can command higher compensation, especially in industry or specialized research positions.

Is computer science dead due to AI?

Computer science research remains vital as AI advances, driving innovation in algorithms, data structures, and software development. AI tools enhance the field but do not replace the need for foundational computer science knowledge and skills. Professionals in this area continue to develop new technologies and address complex computational problems.

What are the key skills and qualifications needed to thrive in the Computer Science Research position, 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.

What is a Computer Science Research job?

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 most commonly searched types of Computer Science Research jobs in Washington? The most popular types of Computer Science Research jobs in Washington are:
What are popular job titles related to Computer Science Research jobs in Washington? For Computer Science Research jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Computer Science Research jobs in Washington look for? The top searched job categories for Computer Science Research jobs in Washington are:
What cities in Washington are hiring for Computer Science Research jobs? Cities in Washington with the most Computer Science Research job openings:
Computer Science Research jobs near you
Infographic showing various Computer Science Research job openings in Washington as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $52,350 per year, or $25.2 per hour.

Cryptologic Computer Scientist 3

Gormat

Annapolis Junction, MD • On-site

$133K - $148K/yr

Full-time

Posted 6 days ago

Job description

We are searching for a Cryptologic Computer Scientist to design, develop, deliver, and operate solutions to hard cryptologic computer science problems within a scientific framework. You will create solutions derived from forensics and attack attribution, facilitate protection of critical networks and active systems, and conduct knowledge discovery of passive and active systems, or other cryptologic computer science mission support. The right candidate will apply requisite computer science skills (operating systems, compiler theory, databased theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structure) to each problem to provide state-of -the-art techniques, tools, and approaches. This particular position will be a hybrid computer scientist/cyber threat analyst, specifically using Python, Spark, and experience working with large scale data. You need to have a strong network and protocol analysis background, and familiarity with customer tools, dataflow, anomaly detection, intrusion analysis, and data processing is beneficial.

The Level 3 Cryptologic Computer Scientist shall possess the following capabilities:

  • Design, develop, deliver, and operate solutions to hard cryptologic computer science problems within a scientific framework.
  • The solutions may arise in the forms of forensics and attack attribution, protection of critical networks, active systems warnings and indicators, active penetration into target systems, knowledge discovery of passive and active systems, or other cryptologic computer science mission support.
  • Requisite computer science skills (operating systems, compiler theory, database theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structures are applied to each problem to provide state of the art techniques, tools, and approaches).
  • Provide development, scripting, reverse engineering, and vulnerability research for CNO. Ability to perform analysis, exploitation, and TDNA/DNEA support. Familiarity with CNO tools and operational support.

Qualifications:

  • Doctoral degree plus 4 years of relevant experience.
  • Master's degree with 6 years of relevant experience.
  • Bachelor's Degree with 8 years of relevant experience.
  • Associates degree with 10 years of relevant experience.
  • Degree must be in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field with at least one programming and at least 4 upper-level math classes (Calculus and above).
  • Relevant experience must be in a computer science area (i.e. theoretical or applied), simulation/model development, designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g. algorithm or development) computation science, algorithm analysis and design, reverse engineering, and/or designing/developing computer and information systems, including engineering hardware and/or software.
  • Strong Python and Spark skills.
  • Strong Network and Protocol Analysis background.
  • Familiarity with customer tools, dataflow, anomaly detection, intrusion analysis, and data processing is beneficial.

TS/SCI with polygraph is required.


Job Posted by ApplicantPro