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Computer Science Professor Jobs in Cambridge, MA

Wit

Lecturer, Chemistry

Boston, MA · On-site

$70K - $81K/yr

... Resilience, Computer Science + Society, and Physics. Faculty in the School are committed to ... The range does not include any salary stipend from a named-professorship. Note that these are two ...

Massgeneralbrigham

Post Doctoral Fellow

Belmont, MA · On-site

$54K - $73K/yr

... and Assistant Professor at McLean and Harvard Medical School. As part of the Digital ... and computer science skills oPossess exceptional written and oral communication skills as ...

Mass General Brigham

Post Doctoral Fellow

Belmont, MA · On-site

$54K - $73K/yr

... and Assistant Professor at McLean and Harvard Medical School. As part of the Digital ... and computer science skills oPossess exceptional written and oral communication skills as ...

Massgeneralbrigham

Post Doctoral Fellow

Belmont, MA · On-site

$54K - $73K/yr

... and Assistant Professor at McLean and Harvard Medical School. As part of the Digital ... and computer science skills oPossess exceptional written and oral communication skills as ...

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Showing results 41-60

All JobsComputer Science Professor JobsComputer Science Professor Jobs in Cambridge, MA

Computer Science Professor information

See Cambridge, MA salary details

$12K

$138.4K

$186.9K

How much do computer science professor jobs pay per year?

As of Sep 7, 2026, the average yearly pay for computer science professor in Cambridge, MA is $138,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $167,200.00 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 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 are the key skills and qualifications needed to thrive as a computer science professor?

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.

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 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.

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Computer Science Professor jobs near you
Infographic showing various Computer Science Professor job openings in Cambridge, MA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 3% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $138,383 per year, or $66.5 per hour.

Pre-doctoral Researcher - Technical Associate (Lawrence Schmidt, Taha Choukhmane) 2025/2026

Massachusetts Institute of Technology

Cambridge, MA • On-site

$50K - $63K/yr

Full-time

Re-posted 19 days ago

Key responsibilities

  • Collect, clean, and manage large-scale microeconomic datasets, including government records, proprietary company data, and patent textual data

  • Develop and maintain data processing pipelines using Stata, R, Python, and GIS software, and write, test, and debug complex code for data manipulation and merging datasets

  • Conduct econometric and statistical analyses on large datasets to address research questions and generate visualizations of empirical findings

Massachusetts Institute Of Technology rating

8.8

Company rating: 8.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

47th of 631 rated colleges and universities

Job description

Description
Professors Lawrence Schmidt and Taha Choukhmane are looking for one or more highly skilled and motivated individuals to work as our full-time research assistant for a period of at least one year, ideally two. The appointment will start ideally in June or July 2026, though we are open to earlier and later start dates as well. The job will entail close collaboration at all stages of the research process on new and ongoing empirical projects which utilize large, rich microeconomic datasets to address questions in the fields of asset pricing, household and consumer finance, behavioral economics, macroeconomics, and micro-econometrics. This position offers the opportunity to gain exposure to and training in a broad set of economic research topics and statistical methodologies before pursuing a PhD in economics or finance. The chosen candidate will also gain valuable experience analyzing large and unique datasets (including restricted-use government administrative records on individual incomes and firm operating activity, textual analysis of patents, and proprietary company data), and working with programs such as Stata, R, Python, and GIS. The chosen candidate will also make connections with faculty at several other institutions involved in the research projects, and will have the opportunity to take courses and attend seminars at MIT.
Principal Duties and Responsibilities
  • Collect, clean, and manage large-scale microeconomic datasets, including restricted-use government administrative records on individual incomes and firm operating activity, proprietary company data, and patent textual data
  • Develop and maintain data processing pipelines using Stata, R, Python, and GIS software
  • Write, test, and debug complex code for data manipulation, merging datasets from multiple sources, and creating analysis-ready files
  • Document all data processing steps and maintain organized file systems for research projects
  • Conduct econometric and statistical analyses on large-scale datasets to address research questions in asset pricing, household finance, behavioral economics, and macroeconomics
  • Generate tables, figures, and visualizations of empirical findings
  • Interpret preliminary results and identify patterns in data that warrant further investigation
  • Conduct literature reviews to identify relevant academic papers and synthesize findings
  • Prepare detailed technical memos documenting methodologies, results, and recommendations
  • Participate in regular research meetings with Professors Schmidt and Choukhmane to discuss project progress, results, and next steps
  • Coordinate with faculty at other institutions involved in collaborative projects

Qualifications
Bachelor's Degree in Economics or related field (the position may be of interest to those with a background in Statistics, Computer Science, or Engineering), Master's degree preferred; minimum 2 years' specialized experience with qualitative data analysis and/or research methods, social sciences (which may include experience gained as an undergraduate.; exceptional programming skills and experience, especially in Stata, R, or Python (experience with a low level language such as C or Fortran is also a plus but not a requirement for the position); ability to work independently to solve problems. The position is ideal for students who are planning to pursue a PhD or advanced Master's program in Economics, Finance or a related field. Visa sponsoring will not be available for this position. Candidates should have authorization to work in the US for the duration of the appointment. Please also indicate in your cover letter whether or not, as of June 30, 2026, you will have been a resident in the US for at least 3 years (this is a requirement for working with Census restricted-use data). The pay range for Technical Associate I is $50,000-$63,000.
Application Instructions
Application Instructions
If you are interested, please provide the following documents:
  • A one page cover letter briefly describing your academic career and future study goals.
  • A CV
  • A transcript
  • A writing sample. This could be any research paper or term paper that you think best reflects your abilities
  • A sample of code which you have written

NOTE:
Visa sponsorship is not available for this position. Candidates should have authorization to work in the US for the duration of the appointment.

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