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Math Research Jobs in Boston, MA (NOW HIRING)

Tufts University

Research Technician

Boston, MA · On-site

$20.90 - $28.90/hr

Research topics include structural analysis of virus entry, viral evolution, viral oncogenes ... Record results and assist with data analysis, including mathematical modeling and/or machine ...

Tufts University

Research Technician

Boston, MA · On-site

$24.90 - $28.90/hr

Research topics include structural analysis of virus entry, viral evolution, viral oncogenes ... Record results and assist with data analysis, including mathematical modeling and/or machine ...

NorthEastern

Research Scientist

Burlington, MA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Summary: The Kostas Research Institute (KRI) at Northeastern University (NU) - a rapidly ... Mathematics, or a closely related field. * 2-4 years of professional experience in software ...

Northeastern University

Research Scientist

Burlington, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Summary: The Kostas Research Institute (KRI) at Northeastern University (NU) - a rapidly ... Mathematics, or a closely related field. * 2-4 years of professional experience in software ...

Galois, Inc.

Research Engineer

Boston, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We believe trustworthy systems are built on a formal mathematical foundation. Our researchers apply formal analysis techniques to the design and verification of critical software systems, allowing us ...

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Showing results 21-40

All JobsMath Research JobsMath Research Jobs in Boston, MA

Math Research information

See Boston, MA salary details

$24.4K

$63.9K

$102.7K

How much do math research jobs pay per year?

As of Aug 17, 2026, the average yearly pay for math research in Boston, MA is $63,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $76,000.00 per year, depending on experience, location, and employer.

What is a math research?

A Math Research job involves studying mathematical theories, solving complex problems, and developing new mathematical models. Researchers may work in academia, government, or industry, applying advanced math to fields like physics, finance, cryptography, or data science. They often publish papers, collaborate with other scientists, and contribute to theoretical or applied mathematics.

What types of projects do professionals in math research typically work on?

Math Research professionals often focus on solving theoretical problems, developing new mathematical models, or applying mathematics to fields like data science, engineering, or finance. Projects can range from pure mathematical theory to practical applications such as optimizing algorithms, analyzing big data, or designing statistical tests. Researchers frequently work within academic, governmental, or private sector teams, collaborating with other scientists, engineers, or subject matter experts. This interdisciplinary approach allows for both independent and group work, providing opportunities for creative problem-solving and continuous learning.

What are the key skills and qualifications needed to thrive in math research, and why are they important?

To thrive in Math Research, you need advanced mathematical knowledge, strong analytical abilities, and a graduate degree (often a Ph.D.) in mathematics or a related field. Commonly used tools include programming languages such as Python or MATLAB, mathematical modeling software, and statistical analysis packages. Exceptional problem-solving, perseverance, and effective communication skills help researchers articulate complex findings and collaborate across disciplines. These skills ensure rigorous, innovative research that advances understanding and delivers real-world impact.

How to become a mathematics researcher?

To become a mathematics researcher, typically a candidate needs a strong foundation in advanced mathematics through a bachelor's degree, followed by a master's or Ph.D. in mathematics or a related field. Developing research skills, proficiency with mathematical software, and publishing findings in academic journals are also important steps in establishing a career in mathematical research.

What are the top 5 math research careers that pay well?

Math research careers that tend to pay well include roles such as quantitative analyst, data scientist, operations researcher, cryptographer, and actuarial scientist. These positions often require advanced degrees, strong analytical skills, and proficiency with programming and statistical tools, with salaries varying based on industry and experience.

What does a math researcher do?

A math researcher investigates mathematical theories, develops new models, and solves complex problems across various fields such as pure mathematics, applied mathematics, or data analysis. They often work in academic, government, or industry settings, using tools like programming languages and statistical software to support their research and typically hold advanced degrees in mathematics or related disciplines.

What are the most commonly searched types of Math Research jobs in Boston, MA?

The most popular types of Math Research jobs in Boston, MA are:

What are popular job titles related to Math Research jobs in Boston, MA?

For Math Research jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Math Research jobs in Boston, MA look for?

The top searched job categories for Math Research jobs in Boston, MA are:

What cities near Boston, MA are hiring for Math Research jobs?

Cities near Boston, MA with the most Math Research job openings:

Math Research jobs near you
Infographic showing various Math Research job openings in Boston, MA as of August 2026, with employment types broken down into 66% Full Time, 13% Part Time, and 21% Contract. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $63,921 per year, or $30.7 per hour.

Staff - Postdoctoral Research Fellow - AI for Science

Mitsubishi Electric Research Laboratories

Cambridge, MA • On-site, Remote

$135K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Job description

MERL is seeking a highly motivated Postdoctoral Research Fellow in AI for Science to join our research team. This position offers a distinctive opportunity for early-career researchers to pursue independent, curiosity-driven research at the intersection of artificial intelligence and scientific discovery, within a collaborative industrial research lab that values academic-style innovation and publication.

The successful candidate will have the freedom to define and lead a research agenda aligned with MERLs strategic interests in applying AI to challenging problems arising in industrial and scientific domains. This includes advancing foundational methods while demonstrating impact in real-world systems.

We are particularly interested in candidates working at the intersection of AI and scientific domains, including but not limited to:

AI for Mathematics and Scientific Computing

  • AI-driven methods for optimization, numerical analysis, and large-scale scientific computing

  • Learning-based approaches to modeling and analyzing complex dynamical systems

  • Integration of machine learning with classical algorithms for improved efficiency and robustness

  • Hypothesis formation, sequential experiment design, analysis and deductive discovery.

  • Theorem development and proving, and algorithm discovery.

AI for Physical Sciences

  • Physics-constrained or physics-informed AI models for understanding and designing material properties (e.g., optical, electrical, thermal)

  • Data-driven and hybrid approaches for multi-scale modeling and simulation

  • Differentiable simulators

  • Discovery of emergent laws and governing equations in complex physical systems

  • Foundational models for thermodynamics and electro-magnetics

AI for Earth and Environmental Sciences

  • Methods for multi-scale environmental and geophysical systems

  • Remote sensing and spatio-temporal modeling using satellite or sensor data

  • Modeling, prediction, and decision-making for environmental and climate-related applications

Responsibilities for this position include:

  • Define and pursue an independent research program in AI for Science, aligned with MERLs research directions
  • Develop novel machine learning and AI methodologies for scientific discovery, modeling, and design
  • Collaborate with MERL researchers across disciplines to connect fundamental advances with industrial applications
  • Publish research results in top-tier conferences and journals
  • Contribute to the broader research community through open-source software, datasets, or other artifacts where appropriate

Qualifications for this position are:

  • PhD in Computer Science, Applied Mathematics, Physics, Engineering, or a related field (or expected completion before start date)
  • Strong background in machine learning, artificial intelligence, and computational science
  • Experience in applying AI to scientific or engineering domains, particularly those domains described above
  • Demonstrated ability to conduct independent research, as evidenced by a strong publication record in relevant venues
  • Excellent communication skills and ability to collaborate in a multidisciplinary research environment

The pay range for this position at the commencement of employment is expected to be between $135,000 and $170,000 per year. Actual base pay will depend on a variety of individualized factors, including job-related knowledge, skills, and experience.

In addition to base salary, the total compensation package will include an annual performance-based bonus and a comprehensive benefits program encompassing medical, dental, and vision coverage; a generous 401(k) match; commuting and home office stipends and various paid time off programs (including vacation, sick time, personal and parental leave). Specific details regarding participation in these programs will be provided upon an offer of employment.

Employment is considered at-will, and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

PRINCIPALS ONLY. No phone calls please.

Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer.

Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL's employees to perform their job duties may result in discipline up to and including discharge.

Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.

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