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Associate Professor Computer Science Jobs in Washington, DC

Umd

Assistant/Associate Professor

College Park, MD

The Department of Plant Science and Landscape Architecture (PSLA) invites applications for a Full Time, 9-month tenure track at the rank of Assistant or Associate Professor to contribute to our ...

Howard University

Assistant Professor

Washington, DC · On-site

$110K - $115K/yr

... and Computer Science, and Mechanical Engineering. The Department of Architecture at Howard ... Candidates for tenured Associate Professor must have a record of scholarship through peer-reviewed ...

Umd

Professor & Director

College Park, MD

$58K - $254K/yr

UMIACS is a research unit of the College of Computer, Mathematical, and Natural Sciences, and the ... Tenured associate professors may apply if they are expected to be a full professor by July 1, 2026.

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 ...

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 ...

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All JobsAssociate Professor Computer Science JobsAssociate Professor Computer Science Jobs in Washington, DC

Associate Professor Computer Science information

See Washington, DC salary details

$47K

$100K

$175K

How much do associate professor computer science jobs pay per year?

As of Jul 22, 2026, the average yearly pay for associate professor computer science in Washington, DC is $100,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,800.00 and $127,400.00 per year, depending on experience, location, and employer.

What opportunities for interdisciplinary collaboration are available to Associate Professors in Computer Science?

As an Associate Professor in Computer Science, you will often have the chance to collaborate with faculty and researchers from various departments such as engineering, medicine, business, and the social sciences. Many universities encourage interdisciplinary projects, allowing you to contribute your computing expertise to diverse research initiatives. These collaborations can enhance your research portfolio and open up new funding opportunities. Additionally, interdisciplinary work often leads to broader impacts and can help build professional networks both within and outside your institution.

What is the difference between Associate Professor Computer Science vs Assistant Professor Computer Science?

CriteriaAssociate Professor Computer ScienceAssistant Professor Computer Science
Required CredentialsPh.D. in Computer Science or related field, significant research and teaching experiencePh.D. in Computer Science or related field, typically early in academic career
Work EnvironmentUniversity faculty, research, teaching, service responsibilitiesUniversity faculty, research, teaching, service responsibilities
Employer & Industry UsageHigher academic rank, more responsibilities, often involved in departmental leadershipEntry-level faculty position, focus on establishing research and teaching

The main difference between Associate Professor Computer Science and Assistant Professor Computer Science lies in experience and rank. Associate Professors have more research, teaching, and service experience, often holding a higher academic rank with additional responsibilities. Assistant Professors are typically early-career faculty members working towards promotion. Both roles require a Ph.D. and are common in university settings, but the Associate Professor position signifies a more advanced career stage.

What does an Associate Professor of Computer Science do?

An Associate Professor of Computer Science is a mid-level faculty member at a college or university who teaches undergraduate and graduate courses, conducts research in computer science, and publishes scholarly work. They also supervise students, mentor junior faculty, and may participate in curriculum development and academic committees. In addition to teaching and research, Associate Professors often contribute to their academic community through service, such as organizing conferences or reviewing papers. Promotion to this rank usually follows demonstrated excellence in teaching, research, and service over several years as an Assistant Professor.

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

To thrive as an Associate Professor of Computer Science, you need an advanced degree (typically a PhD) in computer science or a related field, with a strong track record in research, teaching, and publications. Familiarity with programming languages, learning management systems (such as Canvas or Blackboard), and research tools like MATLAB or Python is typically required. Excellent communication, mentorship, and collaboration skills help foster student engagement and interdisciplinary partnerships. These competencies are crucial for advancing research, delivering effective instruction, and contributing to the academic community.
What are popular job titles related to Associate Professor Computer Science jobs in Washington, DC? For Associate Professor Computer Science jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Associate Professor Computer Science jobs in Washington, DC look for? The top searched job categories for Associate Professor Computer Science jobs in Washington, DC are:
Associate Professor Computer Science jobs near you
Infographic showing various Associate Professor Computer Science job openings in Washington, DC as of July 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 100% In-person job distribution, with an average salary of $100,028 per year, or $48.1 per hour.
Assistant/Associate Professor

Assistant/Associate Professor

Howard University

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Howard University rating

8.1

Company rating: 8.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

135th of 560 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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