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Adjunct Computer Science Professor Jobs in Washington

Howard University

Assistant Professor

Washington, DC · On-site

... or Associate Professor position. The department seeks candidates with research expertise and ... D. in Mathematics, Applied Mathematics, Computer Science, Data Science, Artificial Intelligence, or ...

University of Maryland

Professor & Director

College Park, MD · On-site

$58K - $254K/yr

Tenured associate professors may apply if they are expected to be a full professor by July 1, 2026 ... Department CMNS-College of Computer, Math & Natural Sciences Worker Sub-Type Faculty Regular Salary ...

Umd

Professor & Director

College Park, MD · On-site

$58K - $254K/yr

Tenured associate professors may apply if they are expected to be a full professor by July 1, 2026 ... Department CMNS-College of Computer, Math & Natural Sciences Worker Sub-Type Faculty Regular Salary ...

Howard University

Assistant Professor

Washington, DC · On-site

$100K - $115K/yr

The Department of Electrical Engineering and Computer Science - AI Cluster Hire Initiative The Department of Electrical Engineering and Computer Science in the College of Engineering and Architecture ...

Howard University

Associate Professor

Washington, DC · On-site

$100K - $115K/yr

The Department of Electrical Engineering and Computer Science - AI Cluster Hire Initiative The Department of Electrical Engineering and Computer Science in the College of Engineering and Architecture ...

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All JobsAdjunct Computer Science Professor JobsAdjunct Computer Science Professor Jobs in Washington

Adjunct Computer Science Professor information

See Washington salary details

$32

$76

$89

How much do adjunct computer science professor jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for adjunct computer science professor in Washington is $76.52, according to ZipRecruiter salary data. Most workers in this role earn between $75.67 and $79.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Adjunct Computer Science Professor, and why are they important?

To thrive as an Adjunct Computer Science Professor, you typically need an advanced degree in computer science or a related field, strong programming skills, and teaching experience. Familiarity with learning management systems (e.g., Canvas, Blackboard), programming languages (such as Java, Python, or C++), and instructional technology is important. Excellent communication, adaptability, and a passion for mentoring students distinguish outstanding professors in this role. These skills and qualities ensure effective knowledge transfer, student engagement, and success in a dynamic academic environment.

What are some common challenges faced by adjunct computer science professors, and how can they be managed effectively?

Adjunct computer science professors often face challenges such as balancing teaching responsibilities with other professional commitments, adapting to different institutional cultures, and staying updated with rapidly evolving technology trends. Managing these challenges effectively involves strong time management skills, leveraging online resources for course material, and maintaining open communication with full-time faculty and administration. Participating in faculty development workshops and networking with peers can also help adjunct professors stay engaged and supported within the academic community.

What is the difference between Adjunct Computer Science Professor vs Part-Time Computer Science Instructor?

AspectAdjunct Computer Science ProfessorPart-Time Computer Science Instructor
CredentialsMaster's or PhD in Computer Science or related fieldTypically a Master's degree or relevant industry experience
Work EnvironmentColleges and universities, primarily classroom teachingCommunity colleges, technical schools, or online platforms
Employer & Industry UsageHigher education institutions, academiaEducational institutions, training centers
Search & Comparison IntentUnderstanding academic teaching roles in higher educationFinding part-time teaching opportunities in computer science

The main difference between an Adjunct Computer Science Professor and a Part-Time Computer Science Instructor lies in their typical work settings and credentials. Adjunct professors usually teach at colleges or universities and often hold advanced degrees, focusing on academic instruction. Part-time instructors may work at community colleges or training centers, often with industry experience or a bachelor's degree. Both roles involve teaching but differ in environment and qualifications.

What are adjunct computer science professors?

Adjunct computer science professors are part-time instructors hired by colleges or universities to teach computer science courses. Unlike full-time faculty, adjuncts typically teach one or more classes per term but may not be involved in research or university service. They bring practical experience from industry or academia and help institutions offer a wider range of courses. Adjuncts are usually contracted on a per-semester or per-course basis, and may work at multiple schools simultaneously. Their flexible roles help meet fluctuating enrollment needs and provide specialized knowledge to students.
What are popular job titles related to Adjunct Computer Science Professor jobs in Washington? For Adjunct Computer Science Professor jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Adjunct Computer Science Professor jobs in Washington look for? The top searched job categories for Adjunct Computer Science Professor jobs in Washington are:
Adjunct Computer Science Professor jobs near you
Infographic showing various Adjunct Computer Science Professor job openings in Washington as of June 2026, with employment types broken down into 2% As Needed, 96% Full Time, 1% Part Time, and 1% Temporary. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $159,158 per year, or $76.5 per hour.
Assistant/Associate Professor

Assistant/Associate Professor

Howard University

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 hours ago

Howard University rating

8.7

Company rating: 8.7 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

40th of 537 rated colleges and universities

Job description

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.
At Howard University, we prioritize well-being and professional growth.
Here is what we offer:
  • Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
  • Work-Life Balance: PTO, paid holidays, flexible work arrangements
  • Financial Wellness: Competitive salary, 403(b) with company match
  • Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
  • Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture

Join Howard University and thrive with us!
https://hr.howard.edu/benefits-wellness
We are seeking to hire an Assistant/Associate Professor. The Department of Pediatrics and Child Health in the College of Medicine at Howard University invites applications for a tenure-line, full-time, faculty position at the rank of Assistant/Associate Professor, with research expertise and teaching experience in advancing artificial intelligence (AI) for environmental health and community outcomes. The successful candidate will support the ongoing project on allergies and asthma. With an anticipated start date of August 2026, this position is part of the Office of the Provost Artificial Intelligence (AI) Cluster Hire Initiative, which aims to expand AI interdisciplinary research and instruction across the university.
SUPERVISORY AUTHORITY:
The candidate will supervise postdocs, students, research assistants, or lab interns conducting projects.
NATURE AND SCOPE:
The successful candidate will be housed in the Department of Pediatrics and Child Health in the College of Medicine (COM) and will develop an innovative, extramurally-funded research program applying AI techniques and advanced data science to questions at the intersection of environmental health, variation in health outcomes across populations, and clinical allergies and asthma care.
Research expertise in social and environmental determinants of health employing artificial intelligence methodologies is required.
The faculty member will lead interdisciplinary research at the intersection of computational health, AI, GIS, and medical data analytics, utilizing data science and data engineering approaches to convert unstructured data into structured formats suitable for large-scale analysis. This is an exciting opportunity to work with a cross-disciplinary team to build computational infrastructure to mobilize data. Experience designing systems to capture and structure unstructured electronic health record (EHR) data is required, and the design and maintenance of efficient, secure databases.
The successful candidate will publish in high-impact journals, present at national and international conferences, and pursue competitive external funding. The candidate will partner with another AI Cluster hire, housed in the School of Social Work and the College of Arts and Sciences' Department of Earth, Environment, and Equity (E3), to develop interdisciplinary coursework and advance collaborative research applying AI and machine learning to clinical, environmental, and behavioral datasets.
Preferred screening deadline of March 31, 2026, and will be considered until position is filled. Be sure to submit your cv, research statement, teaching statement, and letters of recommendation.
PRINCIPAL ACCOUNTABILITIES:
  • Lead interdisciplinary research at the intersection of computational health, AI, GIS, and medical data analysis, leveraging data science and data engineering approaches to convert unstructured data into structured, analyzable formats.
  • Apply machine learning models to analyze and interpret complex environmental and health data, with a focus on digital biomarker discovery.
  • Design systems to capture unstructured EHR data; demonstrate proficiency in Python or R, structured query language (SQL), cloud-based solutions (e.g., Microsoft Azure), and database design and management.
  • Publish research findings in high-impact journals, present at conferences, and pursue external funding through competitive grant submissions.
  • Partner with other AI cluster faculty to develop interdisciplinary coursework, including responsible and ethical AI in healthcare.
  • Contribute to teaching and mentoring medical, graduate, and undergraduate students.

CORE COMPETENCIES:
  • M.D., Ph.D., M.D./Ph.D., or M.D./M.S. or equivalent terminal degree in Environmental Health, Data Science, Epidemiology, Biomedical Informatics, Computer Science, or a related field.
  • Strong expertise in AI, machine learning, and natural language processing for data extraction and analysis.
  • Demonstrated experience working with electronic health records (EHRs) and digital biomarker data analysis.
  • Excellent written and oral communication skills, with a proven track record of publishing high-quality research.
  • Ability to work collaboratively in an interdisciplinary research environment.

MINIMUM REQUIREMENTS:
  • Experience with large-scale health data analysis, including the use of big data technologies.

  • Knowledge of regulatory and ethical considerations related to health data, including electronic health records governance.

  • Familiarity with public health datasets, environmental exposure assessment, and population health outcomes.

  • Experience in database management, data visualization, and bioinformatics tools.

  • Teaching experience in environmental health or related fields is desirable but not required.

Compliance Salary Range Disclosure
Compensation Range: $120,000 - $150,000

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