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Computer Science Tenure Track Jobs (NOW HIRING)

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Computer Science Tenure Track information

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$11K

$126.6K

$171K

How much do computer science tenure track jobs pay per year?

As of Jul 11, 2026, the average yearly pay for computer science tenure track in the United States is $126,612.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $153,000.00 per year, depending on experience, location, and employer.

What opportunities for research collaboration exist for Computer Science tenure track faculty members?

Computer Science tenure track faculty often have significant opportunities to collaborate on research with colleagues both within their institution and at external organizations. These collaborations may involve interdisciplinary projects with other departments, partnerships with industry, and participation in research consortia. Additionally, many institutions encourage faculty to seek external funding and attend conferences, which can further expand collaborative networks. Engaging in such collaborations not only advances research but also strengthens a faculty member’s professional profile and can lead to new teaching and mentorship opportunities.

What is the difference between Computer Science Tenure Track vs Computer Science Lecturer?

AspectComputer Science Tenure TrackComputer Science Lecturer
Required credentialsTypically PhD in Computer Science or related fieldMaster's or PhD often preferred, but varies by institution
Work environmentResearch and teaching at universities, with research expectationsPrimarily teaching-focused, may have limited research duties
Employer and industry usageUniversities and academic institutionsUniversities, colleges, and some online education platforms
Common search and comparison intentUnderstanding academic career paths and tenure prospectsExploring teaching roles and academic employment options

The main difference between a Computer Science Tenure Track position and a Computer Science Lecturer lies in their focus and career progression. Tenure Track roles emphasize research, publication, and long-term academic stability, while Lecturer positions primarily focus on teaching responsibilities. Both roles are common in academic settings, but they serve different career goals and expectations.

What are the key skills and qualifications needed to thrive as a Computer Science Tenure Track faculty member, and why are they important?

To excel as a Computer Science Tenure Track faculty member, you generally need a Ph.D. in computer science or a related field, a strong research record, and teaching experience. Familiarity with programming languages, research software, learning management systems, and grant-writing processes is essential. Outstanding communication, mentorship, and collaboration skills help build rapport with students and colleagues and foster a productive academic environment. These competencies are critical for advancing research, delivering effective instruction, and achieving tenure within academia.

What are Computer Science Tenure Track positions?

Computer Science Tenure Track positions are academic faculty roles at colleges or universities that offer a pathway to tenure, which is a permanent and secure appointment. These positions typically involve a combination of teaching, research, and service to the academic community. Faculty on the tenure track are evaluated over several years based on their accomplishments in these areas, and successful candidates are granted tenure, providing job security and academic freedom. Tenure track positions are highly competitive and often require a PhD in computer science or a related field.
More about Computer Science Tenure Track jobs
What states have the most Computer Science Tenure Track jobs? States with the most job openings for Computer Science Tenure Track jobs include:
Infographic showing various Computer Science Tenure Track job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $126,612 per year, or $60.9 per hour.
Tenured or Tenure-track faculty positions in environmental engineering, science, and public health f

Tenured or Tenure-track faculty positions in environmental engineering, science, and public health f

Johns Hopkins University

Baltimore, MD • On-site

$83K - $111K/yr

Full-time

Medical, Life, Retirement

Posted 9 days ago


Johns Hopkins Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 204 frontline employees who took The Breakroom Quiz

231st of 881 rated healthcare providers


Job description

Description
The Johns Hopkins University's Department of Environmental Health & Engineering, in cooperation with the new Johns Hopkins Data Science and Artificial Intelligence (DS/AI) Institute, seeks applicants for tenured or tenure-track faculty positions focused on leveraging and developing DS and AI tools for environmental engineering, science, and public health applications. Candidates should have demonstrated excellence in research harnessing and creating new DS/AI/deep learning/machine learning/big data tools, and strong fundamental training in environmental engineering/science, hydrology, atmospheric science, environmental chemistry/microbiology, or related discipline.
Although we will consider candidates who work in any environmental topical area, we specifically seek candidates in three thrust areas:
Systems Analysis and Optimization for Sustainable Environment and Natural Resources Management: The challenges of future climate change, population growth, megadroughts and extreme events, water scarcity, decarbonization, and zero waste, require advanced systems and risk analysis methodologies for monitoring and managing complex human-natural coupled systems. The desired candidate will have a strong track record in devising and leveraging DS/AI for developing resilient, efficient, and socially beneficial strategies for complex water, air, ecosystem, and other environmental and resource systems.
Harnessing Data Science/Artificial Intelligence/Machine Learning/Deep Learning/Big Data for understanding Earth System changes to inform planning for adaptation and resilience: Large volumes of historical simulations and future climate projections are available from a wide range of climate and environmental models. Simultaneously, the abundance of data streams generated by satellite, airborne, and drone-based remote sensing and in-situ sensor systems holds enormous promise for real-time environmental monitoring. Mining and extracting information from such big data streams requires overcoming challenges associated with scale, discoverability, analysis, and interpretation. We seek candidates who leverage modern DS/AI tools to integrate large multi-scale datasets and process-based models to inform environmental and resource strategies for the 21st century.
Data Science/Artificial Intelligence Applications in Environmental Chemistry and Toxicology: Human and Planetary health is shaped by more than 100,000 chemical compounds that are in commercial use and released into the environment. Protecting human health against exposures to these complex chemical mixtures and byproducts that result from their reactions, is a much greater challenge than quantifying the toxicity of specific chemicals. There has been a recent growth in applications of machine learning to identify the chemical composition of complex mixtures. Simultaneously, DS/AI-based computational toxicology methods are demonstrating promise in meeting the principles of the 3R's concept, especially replacement of animal testing. We seek candidates with expertise in the development and use of DS/AI methods in computational environmental chemistry and toxicology, to identify chemicals of concern in complex environmental mixtures and predict their toxicity.
Applications are particularly welcome from candidates who have demonstrated expertise in developing new DS/AI methods that would be of potential utility in other engineering and science fields, and who would be qualified for joint appointments in one of the three core departments of the new JHU DS and AI Institute (https://ai.jhu.edu). These include the Departments of Applied Mathematics & Statistics; Computer Science; and Electrical & Computer Engineering.
The Department of Environmental Health and Engineering, a cross-divisional department spanning the Whiting School of Engineering and the Bloomberg School of Public Health, has approximately 50 tenured/tenure-track and 40 non-tenure-track faculty members. We embrace the vision outlined in the National Academy report Environmental Engineering for the 21st Century: Addressing Grand Challenges. We strive to make JHU the world leader in understanding how environmental change affects human health and welfare, and in finding solutions that improve the health of the planet, communities, and people. We invite candidates who share our vision to apply for this position. More information about the Department of Environmental Health and Engineering can be found at https://ehe.jhu.edu
The Whiting School of Engineering comprises over 200 full time tenure-track, research, and teaching-track faculty in nine academic programs with a total annual research budget of over $170 million. The Bloomberg School of Public Health is the number 1 ranked public health school in the country with over 670 full time tenure-track faculty in 10 academic departments with an annual budget of over $500 million. Research partnerships with the Johns Hopkins School of Medicine, Applied Physics Laboratory, and the Krieger School of Arts and Sciences make the Whiting School of Engineering a unique research and educational environment. In addition to the DS/AI Institute, opportunities exist for collaboration with several institutes and centers at JHU, including the Ralph S. O'Connor Sustainable Energy Institute (ROSEI), the Center for a Livable Future (CLF), the CHARMED center, and the Center for Alternatives to Animal Testing (CAAT). Student enrollment exceeds 1800 at the undergraduate level with over 1000 full time MS and PhD students. The Engineering for Professionals program enrolls over 2500 part time continuing education students and is the largest program of its kind in the country. The Whiting School of Engineering is in the top 20 for both undergraduate programs and graduate school rankings by US News and World Report.
Qualifications
Applicants must hold an earned doctorate in an appropriate field by the time their appointment begins. Candidates must have demonstrated an ability to conduct outstanding independent research and establish a strong internationally recognized research program. Commitment to excellence in teaching and mentoring a diverse body of students at all levels is required.
Application Instructions
Applications at all levels will be considered; salary and rank will be commensurate with qualifications and experience. Applicants should submit a curriculum vitae, a research statement, a teaching statement, and three recent publications. Junior candidates who are applying at the assistant professor level should provide contact information for at least three references. References are not required at the initial application stage for senior candidates.
Applications are due Jan. 15, 2026; applications welcome until position is filled.
This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
Equal Employment Opportunity Statement
Salary Range
The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.
Total Rewards
Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/.
Equal Opportunity Employer
The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristics. The University is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors or demographic characteristics that are irrelevant to the program involved.
Pre-Employment Information
If you are interested in applying for employment with Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations at Johns Hopkins University for disabilities, medical conditions (including medical conditions related to pregnancy or childbirth), accessibility, or religious reasons, please visit accessibility.jhu.edu.
Background Checks
After receiving a conditional offer, the successful candidate(s) for this position will be subject to a pre-employment background check including education verification. When deciding whether a candidate's conviction history is job-disqualifying, the University considers the nature and gravity of the offense, the time that has passed since the conviction, and the nature of the job being sought.
EEO is the Law
https://www.eeoc.gov/employees-job-applicants
Vaccine Requirements
Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. We still require all faculty, staff, and students to receive the seasonal flu vaccine.
Exceptions to the seasonal flu vaccine or COVID-19 vaccine (for SOM) requirement(s) may be provided to individuals with sincerely held religious beliefs or medical conditions that preclude them from receiving the vaccine. Requests for an exception must be submitted to the JHU vaccination registry. For additional information, applicants for SOM positions should visit https://www.hopkinsmedicine.org/coronavirus/covid-19-vaccine/ and all other JHU applicants should visit https://covidinfo.jhu.edu/health-safety/covid-vaccination-information/.
The following additional vaccine requirements may apply, depending upon your campus. Please contact the hiring department for more information.
The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those candidates who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

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