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Math Research Assistant Jobs in Seattle, WA (NOW HIRING)

Actalent

Animal Research Associate

Everett, WA · On-site

$24 - $32/hr

Research Associate As a Research Associate, you will perform and assist with technical procedures ... Basic math skills for scientific reasoning. * Ability to work cross-functionally on process ...

New

Liberty Mutual

Assistant Director, Product Research

Seattle, WA · On-site

$265K - $277K/yr

Our Coverage A Product Design and Development team is hiring a Consultant or Assistant Director to ... Bachelor's degree in mathematics, economics, statistics, or other quantitative field Minimum 4 year ...

Microsoft

Security Researcher II

Redmond, WA · On-site

... threat hunts, assist with investigations, develop threat intelligence, and to cultivate ... research, and/or anomaly detection * OR Bachelor's Degree in Statistics, Mathematics, Computer ...

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Math Research Assistant information

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How much do math research assistant jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for math research assistant in Seattle, WA is $25.41, according to ZipRecruiter salary data. Most workers in this role earn between $17.43 and $28.62 per hour, depending on experience, location, and employer.

What is a math research assistant?

A Math Research Assistant supports mathematical research by performing literature reviews, running computations, analyzing data, and assisting in writing reports or papers. They work under the guidance of a professor or lead researcher, often in an academic or institutional setting. Tasks may include coding simulations, proving theorems, or organizing research findings. Strong analytical skills and proficiency in mathematical software are often required.

What does a math research assistant do?

A typical day for a Math Research Assistant often involves collaborating with lead researchers or professors to gather and analyze data, conducting literature reviews, and running mathematical simulations or computations using specialized software. You may also assist in preparing reports, presentations, or research papers and participate in group meetings to discuss ongoing projects or share findings. The role is highly collaborative, often requiring regular interaction with faculty members, fellow assistants, and sometimes external research partners. This dynamic environment provides valuable exposure to the research process and helps build a solid foundation for advanced study or future roles in academia or industry.

What are the key skills and qualifications needed to thrive as a math research assistant?

To thrive as a Math Research Assistant, you need a strong foundation in advanced mathematics, analytical problem-solving, and research methodology, often supported by a bachelor's or master's degree in mathematics or a related field. Familiarity with mathematical modeling software (such as MATLAB or Mathematica), data analysis tools, and occasionally programming languages like Python is beneficial. Attention to detail, effective communication, and collaborative teamwork are vital soft skills in this role. These abilities ensure accurate research contributions, effective data analysis, and seamless coordination within research teams.

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:

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For Math Research Assistant jobs in Seattle, WA, the most frequently searched job titles are:

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Math Research Assistant jobs near you
Infographic showing various Math Research Assistant job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $52,852 per year, or $25.4 per hour.

Research Assistant (Quantitative)

National University of Singapore

Kent, WA • On-site

$50 - $70/hr

Other

Posted 3 days ago

New

Job description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant

We are looking for research assistants with a quantitative background for ongoing research in Public Health.

They will be working within the team under the Principal Investigator Assistant Professor Borame Dickens alongside multiple collaborators and experts.

Methods include agent based/individual based modelling, SEIR modelling, geospatial statistics, Bayesian statistics, burden mapping, measuring the impact of the environment on disease among others. The PI has projects in both infectious and chronic disease, measuring the impact of interventions.

Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming. We will also consider candidates who have extensive C++ or Python coding knowledge as these are transferrable to R.

The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array of methods to infer statistical relationships and health outcomes. Further mathematical modelling will also be carried out when necessary involving diagnostic flows and where appropriate, disease spread and/or illness progression.

The Principal Investigator(s) is seeking an independent worker who is well-organized, analytical and codes competently. They will however be receiving support from a team of mathematicians, epidemiologists and statisticians, and have a diverse portfolio of tasks. Under the team’s guidance, they will be expected to co-lead their own publications.

We welcome academic creativity and will be highly supportive of candidates who wish to either pursue academia or desire for career progression provided they show self-motivation to showcase their problem-solving abilities.

Responsibilities
  • Disease modelling
  • Statistical analyses
  • Academic writing and publication of results
  • Preparation of meeting materials for stakeholders
Requirements
  • Completed a BSc in a quantitative discipline (statistics, mathematics, computational biology, data science).
  • Strong programming skills (R preferred).
  • Statistical competence (Bayesian is advantageous).

Please email the PI at ephdbsl@nus.edu.sg for further details and to arrange an interview.

More Information

Location: Kent Ridge Campus

Organization: Saw Swee Hock School of Public Health

Department : Saw Swee Hock School of Public Health

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