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Computer Science Professor Jobs in Massachusetts

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$12K

$138.3K

$186.8K

How much do computer science professor jobs pay per year?

As of Jul 14, 2026, the average yearly pay for computer science professor in Massachusetts is $138,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,500.00 and $167,100.00 per year, depending on experience, location, and employer.

What Does a Computer Science Professor Do?

A computer science professor teaches at a technical college or university. You create and teach courses in computer science (CS) or related programming or technology subjects. In this career, you prepare the syllabus for each class, deliver lectures and instructions, and use exams and quizzes to assess the performance of students. In many computer science classes, your responsibilities include allowing students to practice the subject matter in a computer lab. You facilitate this practice and offer guidance during lab sessions. In addition to your teaching duties, you sometimes give academic or career advice to students in CS degree programs.

What are some common challenges faced by Computer Science Professors in balancing teaching, research, and administrative responsibilities?

Computer Science Professors often juggle multiple responsibilities, including delivering lectures, guiding student projects, conducting original research, publishing papers, and participating in departmental or university committees. Balancing these can be challenging, especially during peak periods like exam seasons or major research deadlines. Effective time management and prioritization are crucial, as is seeking support from colleagues and administrative staff. Many professors also find it helpful to establish a clear schedule and set boundaries to maintain productivity and job satisfaction.

What does a Computer Science Professor do?

A Computer Science Professor teaches courses in computer science at the college or university level, covering topics such as programming, algorithms, data structures, artificial intelligence, and more. In addition to teaching, they often conduct research in specialized areas, publish academic papers, and supervise student projects or theses. Computer Science Professors also advise students, develop curriculum, and may participate in departmental administration or service. Their work is crucial in advancing the field of computer science and preparing the next generation of technology professionals.

What is the difference between Computer Science Professor vs Software Developer?

AspectComputer Science ProfessorSoftware Developer
Required CredentialsTypically a Ph.D. in Computer Science or related fieldBachelor's or Master's in Computer Science or related field; certifications optional
Work EnvironmentAcademic institutions, research labs, universitiesCorporate offices, tech companies, startups
Industry UsageResearch, teaching, academic publishingSoftware development, product creation, coding
Common Search/ComparisonYesYes

While both roles involve computer science knowledge, a Computer Science Professor primarily focuses on teaching, research, and academic publishing, often requiring a Ph.D. and working in educational institutions. In contrast, a Software Developer applies programming skills to create software products in corporate or startup environments, typically with a bachelor's or master's degree. The roles differ in work environment, responsibilities, and career paths but share foundational computer science expertise.

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

To thrive as a Computer Science Professor, you need an advanced degree in computer science or a related field, strong research background, and expertise in core topics like algorithms, programming, and systems. Familiarity with learning management systems (LMS), programming environments, and publication platforms is typically required, along with a record of scholarly publication and potentially relevant certifications. Excellent communication, mentorship, and curriculum development skills help foster student engagement and support academic growth. These skills and qualifications are vital for delivering high-quality instruction, advancing research, and contributing to the academic community.
More about Computer Science Professor jobs
What are the most commonly searched types of Computer Science Professor jobs in Massachusetts? The most popular types of Computer Science Professor jobs in Massachusetts are:
What are popular job titles related to Computer Science Professor jobs in Massachusetts? For Computer Science Professor jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Computer Science Professor jobs in Massachusetts look for? The top searched job categories for Computer Science Professor jobs in Massachusetts are:
What cities in Massachusetts are hiring for Computer Science Professor jobs? Cities in Massachusetts with the most Computer Science Professor job openings:
What are popular job titles related to Computer Science Professor jobs in MA? For Computer Science Professor jobs in MA, the most frequently searched job titles are:
Computer Science Professor jobs near you
Infographic showing various Computer Science Professor job openings in Massachusetts as of July 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 100% In-person job distribution, with an average salary of $138,276 per year, or $66.5 per hour.
Postdoctoral Research Position in Data Science/ML for Assessing Societal Impacts of AI Data Centers

Postdoctoral Research Position in Data Science/ML for Assessing Societal Impacts of AI Data Centers

Harvard University

Cambridge, MA • On-site

$75K/yr

Full-time

Re-posted 2 days ago

Harvard University rating

8.4

Company rating: 8.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

80th of 553 rated colleges and universities

Job description

Position
Details
Title
Postdoctoral Research Position in Data Science/ML for Assessing Societal Impacts of AI Data Centers
School
Harvard T.H. Chan School of Public Health
Department/Area
Biostatistics
Position Description
We invite applications for a full-time Postdoctoral Research Fellow to join a massive research effort aimed at assessing the environmental and health impacts of AI data centers. The position will be supervised by Professor Francesca Dominici and will focus on building and evaluating a decision framework to guide the expansion of AI data centers, aligning economic opportunity with social impact. Our team leverages data pipelines to quantify data centers' electricity and water use, emissions, and air pollution exposure and health impacts. The overarching goal is to develop an interactive utility-facing geospatial toolkit through data science and partnerships with grid operators.
Duties and Responsibilities
• Develop a scalable data science pipeline to harmonize and link detailed information on type, size, location of data centers in the US, their electricity and water demand, carbon emissions; exposure to air pollution.
• Develop and/or apply methods for causal inference and machine learning to estimate the excess number of adverse health events and directly attributable to data centers
• Develop a decision-support platform that allows data center expansion while minimizing environmental exposures and associated health impacts.
• Lead and contribute to manuscripts for high-impact journals and conferences (e.g., Nature-like journals or top CS conferences).
• Present findings in internal meetings and at national/international conferences.
• Collaborate with an interdisciplinary team of biostatisticians, computer scientists, climate scientists and community and industry partners.
• Contribute to open-source code, reproducible research workflows, and, where possible, public tools or model artifacts.
Basic Qualifications
• PhD (completed or near completion) in one of the following or a closely related field:
  • Computer Science
  • Statistics / Biostatistics
  • Applied Mathematics
  • Data Science

• Demonstrated expertise in modern machine learning, including at least one of the following:
  • Spatiotemporal modeling or geospatial/temporal data analysis
  • Causal inference

• Strong programming skills in Python and experience with PyTorch, required to have experience developing code with a team through collaborative version control
• Experience working with large datasets and cloud computing environments.
• Solid background in statistical modeling and inference
• Excellent written and oral communication skills, with a track record of peer-reviewed publications commensurate with career stage.
Additional Qualifications
Prior experience with one or more of:
• Health claims data, EHRs, or other large-scale health/administrative datasets
• Environmental, climate, or air pollution exposure data
• Causal inference methods
Familiarity with interdisciplinary work at the interface of computer science, climate, environment, and health.
Special Instructions
Please submit the following materials:
• Cover letter describing your research interests, relevant experience, and fit for this position.
• Curriculum vitae including a list of publications.
• One to three representative publications or preprints.
• Names and contact information for 2-3 references.
Contact Information
Catherine Adcock
Contact Email
catherine_adcock@harvard.edu
Salary Range
$75,000
Minimum Number of References Required
2
Maximum Number of References Allowed
3
Keywords
biostatistics; data science; machine learning; data centers

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