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Computer Science Faculty Jobs in Washington, DC (NOW HIRING)

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Computer Science Faculty information

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$64K

$94.1K

$111K

How much do computer science faculty jobs pay per year?

As of Sep 8, 2026, the average yearly pay for computer science faculty in Washington, DC is $94,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $105,900.00 per year, depending on experience, location, and employer.

What is a computer science faculty?

Computer Science Faculty are educators and researchers who teach computer science courses at colleges or universities. They develop curriculum, deliver lectures, guide students in labs, and advise on academic matters. In addition to teaching, they often conduct research, publish scholarly articles, and contribute to advancements in the field. Their roles may also include participating in departmental service, mentoring students, and collaborating with industry partners. Computer Science Faculty play a critical role in shaping future technology professionals and researchers.

What are some of the common challenges computer science faculty face when balancing teaching, research, and service responsibilities?

Computer Science Faculty often juggle multiple responsibilities, including preparing and delivering lectures, conducting research, publishing papers, advising students, and participating in departmental or university service. Balancing these diverse tasks can be challenging, especially during peak times like grading periods or grant application deadlines. Effective time management, clear communication with colleagues, and leveraging institutional support are essential strategies to manage these competing demands. Many institutions also encourage collaboration among faculty to share resources and lighten individual workloads.

What are the key skills and qualifications needed to thrive as a computer science faculty, and why are they important?

To thrive as a Computer Science Faculty, you need advanced knowledge of computer science concepts, a relevant graduate degree (often a Ph.D.), and experience in teaching or research. Familiarity with programming languages, learning management systems (LMS), and research tools like version control systems or data analysis software is typically required. Strong communication, mentorship, and organizational skills help faculty engage and inspire students while collaborating with colleagues. These skills and qualities are crucial for delivering high-quality education, fostering student success, and advancing research initiatives in academic settings.

What is the difference between Computer Science Faculty vs Computer Science Lecturer?

AspectComputer Science FacultyComputer Science Lecturer
Required CredentialsTypically PhD in Computer Science or related fieldMaster's degree or equivalent in Computer Science or related field
Work EnvironmentUniversities, colleges, research institutionsUniversities, colleges, technical institutes
Employer & Industry UsageHigher education institutions, research-focusedHigher education institutions, teaching-focused
Common Search & Comparison IntentAcademic roles, research, teaching responsibilitiesTeaching roles, academic positions, entry to mid-level faculty

Computer Science Faculty generally hold doctoral degrees and focus on both teaching and research at universities. In contrast, Computer Science Lecturers often have master's degrees and primarily focus on teaching undergraduate courses. Both roles are found in higher education but differ in qualifications, responsibilities, and career paths.

What are popular job titles related to Computer Science Faculty jobs in Washington, DC?

For Computer Science Faculty jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Computer Science Faculty jobs in Washington, DC look for?

The top searched job categories for Computer Science Faculty jobs in Washington, DC are:

Infographic showing various Computer Science Faculty job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 2% Contract, and 1% Nights. Highlights an 70% Physical, 2% Hybrid, and 28% Remote job distribution, with an average salary of $93,775 per year, or $45.1 per hour.

FT Faculty School of Information Sciences

Washington, DC • On-site

$75K - $80K/yr

Other

This job post has expired 4 days ago. Applications are no longer accepted.


Job description


 
Position Title: Full-Time Faculty, School of Information Sciences 
Department: Academic Office                         Reports To:  Chief Academic Officer  
 
Primary Location: Washington, DC                  FLSA Classification: Non-Exempt 
Parameters: Full-time; 12 months/year                      Pay Range: $75,000 - $80,000 
 
Position Summary:   Bay Atlantic University hires qualified candidates to fill teaching positions, which contribute to the overall strategic success of the University. We look for faculty passionate about providing a high-quality learning experience to ensure students' success and achievement of the degree's learning goals. 
The School of Information Sciences, BAU, is seeking highly qualified applicants for a full-time faculty position to teach in one or more of these fields of study (i.e., Big Data Analytics, Cloud Engineering, Software Engineering, and AI Engineering). BAU is in the heart of the greater Washington DC area, one of the largest growing technology communities in the country. We are seeking a team member with competencies and experience in the disciplines who theoretically and practically understands emerging information technology and integrates innovation into teaching and scholarly interests. The School of Information Sciences has a diverse faculty in terms of gender and nationalities who are willing to teach a diverse set of students at the bachelor's and master's levels. 
BAU expects its faculty to teach high-quality courses on current in-trend topics online and face-to-face, focusing on knowledge and practical skills. Faculty will have opportunities to work with students in one-on-one, classroom, and lab sessions in the University's centric and agile environment. The School of Information Sciences is committed to preparing students with hands-on experiences for career eligibility in various IT sectors, including established IT companies and government agencies. 
 
Essential Functions: As defined under the Americans with Disabilities Act, may include any of the following tasks, knowledge, skills, and other characteristics. This list is ILLUSTRATIVE ONLY and is not a comprehensive listing of all functions and tasks performed by incumbents of this class. 
 
Duties and Responsibilities: 
The full-time faculty will provide instruction across multiple areas and will be required to: 
  1. Teach 30 credits per annum, contracted for 190 days (38 weeks). 
  2. Be present on campus at a minimum of thirty-five (35) hours per week, including the five (5) posted office hours per week.
  3. Serve as a mentor and advisor for students studying at the undergraduate and graduate levels.
  4. Assist in a variety of admissions and recruitment events for the school.
  5. Participate in the university community and assigned committee, including attending all required meetings such as program oversight meetings, campus effectiveness meetings, strategic planning meetings, general staff meetings, and university convocation.
  6. Involve in additional school activities, including curriculum revisions, guest speaker presentations, and collaboration with local businesses and community as necessary.
  7. Prepare lecture content.
  8. Utilize a variety of teaching strategies to deliver the course content.
  9. Engage in assessing student learning and advising students at the undergraduate level.
  10. Collaborate with colleagues.
  11. Continue professional development in scholarship, teaching, and community service.
  12. Demonstrate expertise and knowledge of the course content.
  13. Work with the department chair and faculty in the department to develop or enhance the curricula to ensure their quality with the change in the technology workforce.
  14. Other duties as assigned.

 
General Expectations: Employees are expected to accomplish assigned duties in an efficient, effective, and competent manner and to strive for improvement and excellence in all work performed. Additionally, employees must understand the comprehensive role of the community college and cooperate and work harmoniously with students, faculty and staff, and the public. Employees will follow all college policies, rules, regulations, and guidelines as they relate to this position.
Education and Experience Requirements:
  • Master’s degree (required) in Big Data Analytics, Data Science, Software Engineering, Cloud Engineering, AI Engineering, Computer Science, Information Technology, or related field, awarded or expected in Fall 2023. 
  • Doctorate or terminal degree (preferred) in Big Data Analytics, Data Science, Software Engineering, Cloud Engineering, AI Engineering, Computer Science, Information Technology, or related field, awarded or within one year of completion. 
  • Experience as a teaching assistant or instructor at an accredited institution of higher learning in the technology workforce (preferred).
  • Evidence of effective use of computer technology.
  • Demonstrated experience in online and/or distance learning, as well as curriculum design and implementation in higher education, is a plus.
  • Desire to work with a diverse faculty, staff, and student body.
  • To ensure the health and safety of our community, BAU requires COVID-19 vaccinations for faculty and staff. 
  • This position requires all coursework to use the University’s educational platform to promote the advancement of technological enhancements in teaching. 
  • The successful candidate will also have a commitment to teamwork and organizational skills with attention to detail, thoroughness, excellent communication, and practical decision-making.
 
 
Knowledge, Skills, and Abilities:
1. Knowledge of the organizational and functional responsibilities and operations of an organization required to coordinate the work of the office with the work of other offices and for recognizing the need for such coordination in various circumstances.
2. Knowledge of various office automation software programs, tools, and techniques to support office operations and produce a variety of documents such as letters, reports, spreadsheets, databases, and graphs.
3. Knowledge of structure, programs and work methods of organization for personnel/manning issues.
4. Skill in fact-finding, problem analysis, problem resolutions, and development of concrete action plans to solve problems.
5. Ability to gather, analyze and present facts, communicate effectively (both orally and in typing), using tact and courtesy and possess the ability to plan, organize work, and meet deadlines.
6. Ability to plan and organize management programs and functions of an organization and meet deadlines.
Work Environment: Work is primarily performed under general supervision in an office setting with appropriate climate control. Travel, early morning, evening, and weekend work may be required.
Physical Requirements: Essential functions of this position require: lifting, manual dexterity, ability to communicate.
Sedentary Work: Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body; involves sitting majority of time; walking and standing are required only occasionally, and all other sedentary criteria are met.
Mental Application: Utilizes memory for details, verbal instructions, emotional stability, critical thinking, adaptability, and creative problem-solving skills are important.
Disclaimer: The above statements describe the general nature, level, and type of work performed by the incumbent(s) assigned to this classification. They are not intended to be an exhaustive list of all responsibilities, demands, and skills required of personnel so classified. Job descriptions are not intended to and do not imply or create any employment, compensation, or contract rights for any person or persons. Management reserves the right to add, delete, or modify any and/or all provisions of this description at any time as needed without notice. This job description supersedes earlier versions.