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Data Science Professor Jobs in Cambridge, MA (NOW HIRING)

Adjunct Professor - Data Science Department: School of Computing and Data Science Location: Wentworth Institute of Technology Wentworth Institute of Technology is seeking adjunct professors to teach ...

The School of Computing and Data Science (SCDS) includes more than 30 full-time faculty who offer undergraduate majors in Applied Mathematics, Applied Artificial Intelligence, Computer Science ...

Adjunct Professor - Computer Science Department: School of Computing and Data Science Location: Wentworth Institute of Technology Wentworth Institute of Technology is seeking adjunct professors to ...

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Data Science Professor information

See Cambridge, MA salary details

$24.1K

$118.9K

$224.9K

How much do data science professor jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data science professor in Cambridge, MA is $118,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,253.00 and $167,439.00 per year, depending on experience, location, and employer.

What does a Data Science Professor do?

A Data Science Professor teaches courses on data science, machine learning, and statistics at a university or college. They conduct research in areas like artificial intelligence, big data, or analytics while mentoring students in academic and professional development. Their role also includes publishing research papers, securing grants, and collaborating with industry partners to advance data science education and innovation.

What are the key skills and qualifications needed to thrive as a Data Science Professor?

To thrive as a Data Science Professor, you need a robust background in statistics, machine learning, and programming, typically supported by a Ph.D. in data science, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and big data platforms, along with experience in publishing research, is highly valued. Strong communication, mentorship, and organizational skills help in delivering effective lectures, guiding student projects, and collaborating with peers. These abilities are critical for providing high-quality education, advancing research, and preparing students for real-world data science careers.

What are popular job titles related to Data Science Professor jobs in Cambridge, MA?

For Data Science Professor jobs in Cambridge, MA, the most frequently searched job titles are:

What job categories do people searching Data Science Professor jobs in Cambridge, MA look for?

The top searched job categories for Data Science Professor jobs in Cambridge, MA are:

What cities near Cambridge, MA are hiring for Data Science Professor jobs?

Cities near Cambridge, MA with the most Data Science Professor job openings:

Infographic showing various Data Science Professor job openings in Cambridge, MA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $118,947 per year, or $57.2 per hour.

Assistant/Associate Professor of Biostatistics and Data Science

Harvard University

Cambridge, MA • On-site

$200K - $249K/yr

Full-time

Posted 3 days ago

New


Harvard University rating

8.5

Company rating: 8.5 out of 10

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Job description

Position
Details
Title
Assistant/Associate Professor of Biostatistics and Data Science
School
Harvard T.H. Chan School of Public Health
Department/Area
Biostatistics/Data Science
Position Description
The Departments of Biostatistics at the Harvard T.H. Chan School of Public Health and Data Science at the Dana-Farber Cancer Institute provide exceptional environments to pursue research and education in quantitative methods, while leading global efforts to improve the health of individuals and populations. Faculty members work closely together across the two departments, and joint appointments are common. Our faculty are experts in a wide range of statistical and computational biology areas, and applied research is facilitated through collaborations with researchers in public health, medicine, and related fields. Ample opportunities exist for collaboration with biomedical researchers at Harvard-affiliated hospitals, within the Harvard schools, The Broad Institute, and MIT.
The Department of Data Science at the Dana-Farber Cancer Institute (DFCI) and the Department of Biostatistics at the Harvard T.H. Chan School of Public Health (HSPH) seek candidates to fill a tenure-track faculty position at the Assistant or Associate Professor level in the field of statistics or machine learning, with demonstrated interest in single-cell or spatial genomics applications. This faculty member will have a unique opportunity to collaborate with basic scientists and biomedical researchers at DFCI, particularly those generating data using single-cell or spatial technologies as part of their research, as well as with faculty across Harvard and its affiliates. Because the position carries an appointment at HSPH, they will be expected to participate fully in departmental and school activities, including teaching graduate-level courses and mentoring students and postdoctoral fellows.
The faculty member will hold a primary appointment in the Department of Data Science at DFCI, and a faculty appointment in the Department of Biostatistics at HSPH. Resources will be provided to support the development of a research team, including postdoctoral fellows and graduate students.
Basic Qualifications
Qualified applicants will have a doctoral degree in biostatistics, statistics, computer science, computational biology, or a related field. Candidates must have completed their doctoral degree prior to the start date of the position.
Additional Qualifications
The candidate should exhibit strong interest in single-cell or spatial genomics applications and should be enthusiastic about teaching and training through graduate programs. The candidate should also possess the ability to work collaboratively with other scientists within the Biostatistics Department and should espouse the scholarly qualities required to teach and mentor doctoral students. Candidates should be committed to building an institutional culture that respects and builds upon our many differences. These principles of citizenship are respect, integrity, collegiality, and commitment to a more supportive and sustainable world.
Special Instructions
Applications will be reviewed on a rolling basis but must be submitted by 10/31/2026. Four references and two publications will be requested of candidates applying at the Assistant Professor level. Six references and five publications will be requested of candidates applying at the Associate Professor level.
For guidance on the Service Statement, one of the required application documents, click to learn more about the Harvard Chan School Principles of CitizenshipThe following topic areas may help frame and organize statements but are not meant as a template as there is no strict checklist of requirements. Rather, statements should directly reflect the specific past efforts and sincere future plans of each candidate:
  • Citizenship: How do you see the School's Principles of Citizenship as aligning with and/or informing your work (or potential work) as a faculty member?
  • Service: Describe the kinds of service, leadership, and/or community building activities you have engaged in (or plan to) as a faculty member and explain how they relate to your own career development and professional objectives.
  • Mentorship and Pedagogy: How have you (or will you in the future) ensure a nurturing learning, training, and mentoring environment for all students and early-career researchers and peers?
  • Research and Scholarship: How do you see your research goals and other professional activities as contributing to a broader vision of public health impact and efficacy?

Contact Information
Shanyce Hanson
Contact Email
shanson@ds.dfci.harvard.edu
Salary Range
Assistant Professor rank: $154k-$180k
Associate Professor rank: $200k-$249k
Minimum Number of References Required
4
Maximum Number of References Allowed
6
Keywords
biostatistics; machine learning; statistics; computational biology; genomics

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