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Full Time Mathematical Modeling Jobs in Seattle, WA

Industrial Engineer

Bremerton, WA · On-site

$110K - $140K/yr

The ability to use calculus, trigonometry, algebra and other types of math is important in this ... Modeling and Simulation experience a plus * Operations Research a plus * Shipyard experience ...

Senior Developer

Bellevue, WA · On-site

$140K - $239K/yr

Regular Full Time Career Level: T3-3 Additional Locations: Original Posting Date: 04/27/2026 Job ... Hybrid work model Purpose and Objective: Concur Technologies, Inc. seeks a Senior Developer at our ...

Actuarial Associate I - Remote

Bellevue, WA · On-site +1

$72K - $121K/yr

Quarterly model bridging runs Final reported BEL BEL waterfall runs Quarterly BEL sensitivities and ... Flexible full-time or hybrid telecommuting arrangements Plan for your future with our 401(k) plan ...

Actuarial Associate I - Remote

Bellevue, WA · On-site +1

$72K - $121K/yr

Quarterly model bridging runs * Final reported BEL * BEL waterfall runs * Quarterly BEL ... Flexible full-time or hybrid telecommuting arrangements * Plan for your future with our 401(k) plan ...

Showing results 41-60

Full Time Mathematical Modeling information

See Seattle, WA salary details

$31.3K

$64.6K

$68.9K

How much do full time mathematical modeling jobs pay per year?

As of Sep 3, 2026, the average yearly pay for full time mathematical modeling in Seattle, WA is $64,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $67,700.00 per year, depending on experience, location, and employer.

What is a full time mathematical modeling?

A Full Time Mathematical Modeling job involves using mathematical techniques and computational methods to create models that represent real-world systems or processes. Professionals in this field analyze data, build mathematical representations, and use simulations to predict outcomes or solve complex problems. These models are often applied in industries such as finance, engineering, healthcare, and environmental science. Full-time roles typically require strong analytical skills, proficiency in mathematics and programming, and the ability to communicate findings to both technical and non-technical audiences.

What are the key skills and qualifications needed to thrive as a full time mathematical modeling professional?

To thrive in Full Time Mathematical Modeling, you need a strong background in mathematics, statistics, and analytical reasoning, usually supported by a relevant degree such as mathematics, engineering, or applied science. Familiarity with programming languages (such as Python, R, or MATLAB), statistical software, and data analysis tools is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals translate complex models into actionable insights. These competencies are crucial for developing accurate, reliable models that inform decision-making across diverse industries.

What are some common challenges faced by professionals in full time mathematical modeling roles?

Full-time mathematical modeling professionals often encounter challenges such as translating complex real-world problems into mathematical formulations and ensuring that their models are both accurate and computationally efficient. Collaboration with domain experts is crucial, as modelers need to understand the underlying business or scientific problems deeply. Additionally, they must regularly validate and refine models based on new data or feedback, which requires strong communication skills and adaptability. Balancing precision with practical constraints, such as data limitations or computational resources, is also a frequent aspect of the role.

What is the difference between Full Time Mathematical Modeling vs Data Analyst?

AspectFull Time Mathematical ModelingData Analyst
Required CredentialsDegree in Mathematics, Applied Math, or related fieldDegree in Statistics, Data Science, or related field
Work EnvironmentResearch labs, finance, engineering firmsBusiness, marketing, healthcare sectors
Employer & Industry UsageFinance, aerospace, tech companiesRetail, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding roles involving complex mathematical modelsAnalyzing data to inform business decisions

Full Time Mathematical Modeling focuses on developing and applying advanced mathematical techniques to solve complex problems, often in research or technical industries. Data Analysts interpret and visualize data to support business strategies. While both roles require strong analytical skills, Mathematical Modelers typically work on theoretical models, whereas Data Analysts focus on data interpretation and reporting.

What jobs use full time mathematical modeling?

Full time mathematical modeling is used in roles such as data scientist, quantitative analyst, operations researcher, financial analyst, and risk analyst. These jobs involve developing models to analyze data, optimize processes, or forecast outcomes, often requiring skills in programming, statistics, and specialized software like MATLAB or R.

What are the most commonly searched types of Mathematical Modeling jobs in Seattle, WA?

The most popular types of Mathematical Modeling jobs in Seattle, WA are:

What are popular job titles related to Full Time Mathematical Modeling jobs in Seattle, WA?

For Full Time Mathematical Modeling jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Full Time Mathematical Modeling jobs in Seattle, WA look for?

The top searched job categories for Full Time Mathematical Modeling jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Full Time Mathematical Modeling jobs?

Cities near Seattle, WA with the most Full Time Mathematical Modeling job openings:

Acting Instructor - Mechanistic Computational Modelling

University of Washington

Seattle, WA • On-site

$65K - $80K/yr

Full-time

Posted 7 days ago


University Of Washington School Of Medicine rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

82nd of 628 rated colleges and universities


Job description

Description
The Department of Bioengineering at the University of Washington School of Medicine invites applications for an Acting Instructor position with an anticipated start date of December 16, 2026. The successful candidate will be appointed full-time for a 12-month appointment. Acting Instructor appointments are annual and may be renewed based on performance and the availability of funding.
This position is being offered at a salary range of $5,417 to $6,667 per month ($65,004 - $80,004 per year), commensurate with experience.
The successful candidate will be expected to conduct independent project development, including the following: Lead the design and execution of computational biology projects, like mechanistic modeling of vascular-cellular physiology. Expected approaches include but not limited to mass-action kinetic models, performing sensitivity and uncertainty analyses, and conducting rigorous statistical analysis of experimental and clinical datasets.
The candidate should demonstrate broad knowledge of receptor tyrosine kinase (RTK) signaling (and related pathways) and be able to translate biological hypotheses into quantitative models that can be tested against data. They will play a leading role in intellectual development activities, independently drive key portions of research projects, and are expected to publish as first author in high-impact, peer-reviewed journals, in addition to serving as co-author on collaborative publications, presentations, and reports.
Funding Contribution: Identifies funding sources and contributes to developing new proposals. Candidates are expected to actively pursue independent research funding and build a long-term trajectory toward securing grants as PI or co-PI.
Mentoring: Mentors students and junior researchers in the development of technical and professional skills.
Qualifications
Applicants for this Acting Instructor position must meet the following minimum qualifications:
  • PhD degree in a related quantitative field (e.g., bioengineering, biomedical engineering, computational biology, biophysics, chemical engineering, applied mathematics, computer science, or a closely related discipline),
  • Expertise in receptor tyrosine kinase (RTK) signaling (and related pathways),
  • Strong record of scientific writing with experience publishing as first author in high-impact, peer-reviewed journals, and
  • At least two years of postdoctoral experience in computational modeling of biological systems. This includes programming (e.g., Python, R, MATLAB), quantitative data analysis, and development and application of mechanistic, deterministic models.

Application Instructions
To ensure full consideration of your application, please submit all materials no later than October 1, 2026. Priority will be given to those applications received by October 1, 2026. Applications will only be accepted via University of Washington's Interfolio. The position will remain open until filled.
Applications should include the following materials:
  1. A cover letter of no more than one (1) page detailing your interest in the position, relevant qualifications, and experiences
  2. A curriculum vitae
  3. Please also include contact information for at least three (3) referees who are prepared to provide letters of recommendation upon request.

Applicants should articulate how their past experiences and/or future plans in research, teaching, mentoring, patient care, and/or service promote a sense of belonging and foster a welcoming and inclusive environment.
Contact Dr. Imoukhuede and Dr. Fang at Imoukhuedelab@u.washington.edu. More information about the Imoukhuede Systems Biology Lab can be found at https://sites.bioe.uw.edu/imoukhuede/.
Equal Employment Opportunity Statement
Equal Opportunity
The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81.
Benefits Information
The University is committed to providing excellent benefits to our faculty. For a summary of available benefits, please see UWHR benefits information.
Privacy Notice
Your application materials may be used for employment consideration and shared in accordance with UW's Privacy Policy.
Disability Services
The University of Washington is committed to providing access and reasonable accommodation in its services, programs, activities, education, and employment for individuals with disabilities. To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu.

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