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Assistant Associate Professor Jobs in California

Howard

Assistant/Associate Professor

Seeley, CA

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 ...

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Assistant Associate Professor information

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$41K

$87.2K

$152.5K

How much do assistant associate professor jobs pay per year?

As of Aug 7, 2026, the average yearly pay for assistant associate professor in California is $87,161.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $111,000.00 per year, depending on experience, location, and employer.

What is an assistant associate professor?

An Assistant Associate Professor is a faculty member at a college or university who typically holds a tenure-track or tenured position, ranking between Assistant Professor and Associate Professor. However, the title 'Assistant Associate Professor' is uncommon and may be used differently depending on the institution. In most cases, an Assistant Professor is an entry-level position, while an Associate Professor is a mid-level position, often earned after several years of teaching, research, and service. The responsibilities generally include teaching, conducting research, publishing scholarly work, and participating in academic service. Advancement from Assistant to Associate Professor usually involves a rigorous evaluation of performance and contributions to the field.

What are the key skills and qualifications needed to thrive as an assistant associate professor, and why are they important?

To thrive as an Assistant Associate Professor, you need an advanced degree (typically a Ph.D.) in your field, a strong record of research, and teaching experience. Familiarity with learning management systems (such as Canvas or Blackboard), research databases, and academic publishing platforms is essential. Outstanding communication, mentorship, and organizational skills distinguish exceptional candidates in this role. These skills and qualifications are crucial to delivering quality education, advancing research, and fostering student development within the academic environment.

What are some common challenges assistant associate professors face when balancing teaching, research, and service responsibilities?

Assistant Associate Professors often juggle multiple priorities, including developing engaging courses, advancing their research agendas, and fulfilling departmental or university service duties. Managing these responsibilities can be challenging, especially during early career stages when establishing a research profile is critical for promotion. Effective time management, clear communication with colleagues, and seeking mentorship can help navigate these demands. Many institutions offer professional development resources to support faculty in balancing these core areas successfully.

What is the difference between Assistant Associate Professor vs Lecturer?

AspectAssistant Associate ProfessorLecturer
Required credentialsDoctorate or terminal degree in fieldBachelor's or Master's degree, sometimes doctorate
Work environmentAcademic institutions, research, teachingPrimarily teaching, often non-tenure track
Employer and industry usageUniversities, colleges, research institutionsColleges, universities, vocational schools
Common search intentAcademic career progression, research rolesTeaching-focused positions, adjunct or full-time

The main difference between an Assistant Associate Professor and a Lecturer lies in their roles and career paths. Assistant Associate Professors typically hold a doctorate, engage in research, and aim for tenure, while Lecturers focus primarily on teaching without necessarily pursuing research or tenure. Understanding these distinctions helps candidates identify the right position based on their credentials and career goals.

What are popular job titles related to Assistant Associate Professor jobs in California? For Assistant Associate Professor jobs in California, the most frequently searched job titles are:
What job categories do people searching Assistant Associate Professor jobs in California look for? The top searched job categories for Assistant Associate Professor jobs in California are:
What cities in California are hiring for Assistant Associate Professor jobs? Cities in California with the most Assistant Associate Professor job openings:
Assistant Associate Professor jobs near you
Infographic showing various Assistant Associate Professor job openings in California as of August 2026, with employment types broken down into 1% As Needed, 62% Full Time, 32% Part Time, 3% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $87,161 per year, or $41.9 per hour.

Assistant/Associate Professor

Howard

Seeley, CA

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

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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