1

Math Research Jobs in Seattle, WA (NOW HIRING)

Nuance Labs is a research company focused on developing photorealistic, real-time AI avatars with ... CS, ML, math, physics, EE, or a related field • Strong programming ability and software ...

AI Research Scientist The Allen Institute accelerates science for a healthier world through large ... PhD in Computer Science, Applied Mathematics, Statistics, Computational Biology, or a related field ...

AI Research Scientist The Allen Institute accelerates science for a healthier world through large ... PhD in Computer Science, Applied Mathematics, Statistics, Computational Biology, or a related field ...

Apply complex mathematical and physics concepts to simulate the propagation and detection of ... in technical research, engineering analysis, or data modeling contexts; relevant academic ...

Nuance Research Fellow

Seattle, WA · On-site

$250K - $350K/yr

Currently enrolled in or recently completed a BS, MS, or PhD in CS, ML, math, physics, EE, or a ... Research or implementation experience with flow matching, diffusion models, rectified flows ...

... mathematical software (e.g., R) * Proven experience with statistical analysis including causal ... Operations Research, Data Science, Computer Science, Physics, Business, or Mathematics

... mathematical software (e.g., R) * Proven experience with statistical analysis including causal ... Operations Research, Data Science, Computer Science, Physics, Business, or Mathematics

Showing results 21-40

Math Research information

See Seattle, WA salary details

$25.6K

$67K

$107.5K

How much do math research jobs pay per year?

As of Aug 7, 2026, the average yearly pay for math research in Seattle, WA is $66,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,200.00 and $79,700.00 per year, depending on experience, location, and employer.

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.

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 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.

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 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 are the most commonly searched types of Math Research jobs in Seattle, WA? The most popular types of Math Research jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Math Research jobs? Cities near Seattle, WA with the most Math Research job openings:
Infographic showing various Math Research job openings in Seattle, WA as of August 2026, with employment types broken down into 84% Full Time, 5% Part Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $66,958 per year, or $32.2 per hour.

Research Scientist (Wearability)

Prolim Global

Redmond, WA • On-site

Contractor

Re-posted 21 days ago


Job description

PROLIM Global Corporation (www.prolim.com) is currently seeking Research Scientist (Wearability) for location Redmond, Washington, United States for one of our Top clients

Job Description:

Responsibilities:

  • Analyze data derived from 3D scanned geometry (i.e. PCA on meshes, statistical shape modeling, landmark analysis) and human factors data to produce meaningful insights that drive product design.
  • Perform exploratory data analysis, identify issues in the data, and generate and test hypotheses to interpret the results of product experiments.
  • Plan and execute statistical analyses for large datasets (N=3000+ people), focusing on wearability and fitment
  • Develop reusable analysis code in Python, R, or similar languages
  • Improve data analysis analysis pipelines with an emphasis on scalability and stability of various deployed systems
  • Design and run ergonomic and human factors research studies, utilizing methods such as experimental design, survey analysis, motion tracking, and kinematics analysis.
  • Collaborate with scientists and engineers to translate research questions into analysis tools and results.
  • Provide data visualization support, including dashboards and ad-hoc requests, to convey complex information to stakeholders effectively through compelling storytelling
  • Participate in cross-functional collaborations across Reality Labs, contributing to experiments, prototypes, and concepts that advance AR/VR systems.

Minimum Qualifications:

  • Master’s degree or equivalent experience in Computer Science, Biomedical Engineering, Mechanical Engineering, Statistics, Mathematics, Human Factors, or a related field.
  • 2+ years of experience in conducting research and statistical analysis for novel products.
  • Experience in 3D geometry analysis, human data, and user studies.
  • Experience with Python and/or R
  • Demonstrated ability to perform multivariate analysis (e.g., PCA on meshes, hierarchical regression modeling, machine learning) with a strong emphasis on deriving data insights from large datasets, identifying trends, and clearly presenting findings

Preferred Qualifications:

  • PhD or equivalent experience in Computer Science, Statistics, Engineering, or related fields.
  • 5+ years of experience in applied research and/or product development related to 3D geometry analysis, particularly in wearable design.
  • Prior experience with computer vision, motion capture data analysis, 3D geometry (mesh processing, statistical shape modeling), CAD, and/or FEA
  • Experience with Machine Learning models, deep learning frameworks, including PyTorch, and their application in 3D geometry analysis
  • Experience with emerging technologies in AR/VR/MR or wearable technology.

Apply online for immediate consideration, please send your updated resume, and contact info via email praful.salunkey@prolim.com

About PROLIM Corporation  

PROLIM is a leading provider of end-to-end IT, PLM and Engineering Services and Solutions for Global 1000 companies. They understand business as much as technology, and help their customers improve their profitability and efficiency by providing high value technology consulting, staffing, and project management outsourcing services. 

Their IT and PLM consulting offerings include; Advisory, PLM Software/Services, Program Management, Solution Architecture Training/Staffing, Cloud Solutions, Servers/Networking, Infrastructure, ERP Practices and QA Services. Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering, Prototyping, and Testing/Validation within a wide range of markets and industries.