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Associate Teaching Professor Jobs in Washington (NOW HIRING)

Assistant Professor

Washington, DC · On-site

$110K - $115K/yr

... or tenured Associate Professor position in the Master of Architecture Program, set to begin on ... A strong design portfolio and experience in teaching core courses in history and theory lecture ...

Promotion to Associate Clinical Professor and Full Clinical Professor available based on performance. We are looking for candidates with a strong background in landscape architecture who can teach ...

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Associate Teaching Professor information

See Washington salary details

$49.3K

$116K

$161.4K

How much do associate teaching professor jobs pay per year?

As of Aug 11, 2026, the average yearly pay for associate teaching professor in Washington is $116,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,500.00 and $142,700.00 per year, depending on experience, location, and employer.

What is an associate teaching professor?

An Associate Teaching Professor is a faculty position at a college or university focused primarily on teaching rather than research. Individuals in this role are typically experienced educators who contribute significantly to curriculum development, student mentoring, and educational leadership within their department. Unlike tenure-track professors, Associate Teaching Professors may have limited or no research obligations and are often promoted based on their teaching excellence and service. This position is common in institutions that value high-quality instruction and student engagement.

What is the difference between Associate Teaching Professor vs Assistant Teaching Professor?

AspectAssociate Teaching ProfessorAssistant Teaching Professor
Required CredentialsMaster's or Doctorate, teaching experience often preferredMaster's or Doctorate, typically less teaching experience required
Work EnvironmentHigher teaching responsibilities, possible service rolesEntry-level teaching position, focus on instruction
Employer & Industry UsageUsed in universities, especially in North AmericaCommon in academic institutions, often as a starting faculty role

The main difference between an Associate Teaching Professor and an Assistant Teaching Professor lies in experience and responsibilities. Associate Teaching Professors usually have more teaching experience and may take on additional service roles, while Assistant Teaching Professors are often in earlier career stages with a primary focus on instruction. Both roles are common in higher education institutions and require similar educational credentials.

What skills and qualifications are needed to be an associate teaching professor?

To thrive as an Associate Teaching Professor, you need advanced subject matter expertise, a relevant doctoral degree, and a proven record of effective teaching. Familiarity with learning management systems, online teaching tools, and curriculum development platforms is often essential. Outstanding communication, mentorship, and adaptability are crucial soft skills for engaging students and supporting their academic growth. These qualifications and skills enable Associate Teaching Professors to deliver high-quality education, foster student success, and contribute to their institution’s mission.

What challenges do associate teaching professors face in balancing teaching, service, and professional development?

Associate Teaching Professors often navigate the challenge of balancing a high teaching load with departmental service and ongoing professional development. Since their primary focus is on delivering high-quality instruction, they must also find time for curriculum development, student advising, and participation in committees. Professional growth, such as attending conferences or engaging in pedagogical research, is essential for career advancement but can be difficult to prioritize amid teaching and service commitments. Successful Associate Teaching Professors typically manage these demands through effective time management and clear communication with colleagues and administration.
What are the most commonly searched types of Teaching Professor jobs in Washington? The most popular types of Teaching Professor jobs in Washington are:
What are popular job titles related to Associate Teaching Professor jobs in Washington? For Associate Teaching Professor jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Associate Teaching Professor jobs? Cities in Washington with the most Associate Teaching Professor job openings:
Infographic showing various Associate Teaching Professor job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $116,013 per year, or $55.8 per hour.

Assistant/Associate Professor

Howard University

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago


Howard University rating

8.1

Company rating: 8.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

160th of 617 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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