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Lecturer In Computer Science Jobs in Washington (NOW HIRING)

Computer Science Internship

College Park, MD · On-site

$19 - $25/hr

You will be involved in research, development, and problem-solving, helping to shape the future of technology. This internship is designed to provide you with valuable real-world experience in a ...

You will be involved in research, development, and problem-solving, helping to shape the future of technology. This internship is designed to provide you with valuable real-world experience in a ...

You will be involved in research, development, and problem-solving, helping to shape the future of technology. This internship is designed to provide you with valuable real-world experience in a ...

Showing results 21-40

Lecturer In Computer Science information

See Washington salary details

$64K

$94.1K

$111K

How much do lecturer in computer science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for lecturer in computer science in Washington is $94,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $105,900.00 per year, depending on experience, location, and employer.

What is a lecturer in computer science?

A Lecturer in Computer Science is an academic professional responsible for teaching undergraduate and/or postgraduate courses in computer science. They develop course materials, deliver lectures, guide student research, and assess assignments and exams. In addition to teaching, lecturers may conduct research, publish papers, and contribute to the academic community. They often stay updated on emerging technologies and trends in computer science to enhance their teaching and research. Some positions may also involve administrative duties and mentorship of students.

What are the typical responsibilities of a lecturer in computer science?

As a Lecturer in Computer Science, you will design and deliver lectures, seminars, and practical lab sessions, as well as assess student assignments and exams. You may also develop course materials, mentor students, participate in curriculum planning, and stay updated on emerging technologies relevant to your courses. Collaborating with colleagues on departmental initiatives and supporting academic research can also be part of your role. The position often balances structured teaching with opportunities for creativity and professional development in a dynamic setting.

What are the key skills and qualifications needed to thrive as a lecturer in computer science?

To excel as a Lecturer in Computer Science, you typically need an advanced degree in computer science or a related field, alongside deep knowledge of core computing concepts and teaching experience. Familiarity with programming languages (like Python, Java, or C++), learning management systems, and industry certifications (such as AWS or Oracle) is highly valuable. Exceptional communication, mentorship abilities, and organizational skills help you engage students and support their learning. These competencies ensure you deliver high-quality education, foster a positive classroom environment, and keep pace with the evolving tech landscape.

What are the most commonly searched types of Lecturer In Computer Science jobs in Washington?

The most popular types of Lecturer In Computer Science jobs in Washington are:

What are popular job titles related to Lecturer In Computer Science jobs in Washington?

For Lecturer In Computer Science jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Lecturer In Computer Science jobs in Washington look for?

The top searched job categories for Lecturer In Computer Science jobs in Washington are:

Infographic showing various Lecturer In Computer Science job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, 2% Temporary, 6% Contract, and 1% Nights. Highlights an 71% Physical, 2% Hybrid, and 27% Remote job distribution, with an average salary of $94,129 per year, or $45.3 per hour.

Cryptanalytic Computer Scientist 3

GRVTY

Fort George G Meade, MD

Full-time

Posted 6 days ago


Job description

What Impact You'll Have

GRVTY is seeking experiences Cryptanalytic Computer Scientist who can apply their expertise in computer science, mathematics, and engineering to design, develop, and evaluate algorithms and techniques for solving complex cryptographic and security-related problems. 

What You'll be Owning

  • Create and utilize mathematical models and methods to study cryptographic systems, analyze vulnerabilities, and develop solutions to secure sensitive information. 
  • Work on high-performance computing projects to optimize cryptographic processes and address security challenges across diverse computing environments. 
  • Design, develop, and evaluate algorithms and techniques for solving complex cryptographic and security-related problems. 
  • Create and utilize mathematical models and methods to study cryptographic systems, analyze vulnerabilities, and develop solutions to secure sensitive information. 
  • Work on high-performance computing projects to optimize cryptographic processes and address security challenges across diverse computing environments. 
  • Building and maintaining data analytics. 
  • Data evaluation, enrichment, and processing for relevant datasets.

What You Must Have

  • Active TS/SCI with polygraph clearance. 
  • Doctoral degree plus 4 years of relevant experience.
  • Master's degree plus 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 in computer science area (i.e. theoretical or applied), designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g. algorithm or development) to study issues and solve problems, engineering (electrical or computer), and/or high-performance computing.
  • Knowledge of Python, Spark, C++, XKS (with FPs, and MPs).