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Full Time Mathematical Modeling Jobs (NOW HIRING)

Wit

Assistant Professor, Applied Mathematics

Boston, MA

$89K - $106K/yr

The School of Computing and Data Science (SCDS) includes more than 30 full-time faculty who offer ... mathematical modeling (e.g. Catastrophic modeling) or simulation (e.g. discrete time and/or ...

IGT

Game Mathematician I

Chicago, IL

$70K - $80K/yr

Designing and developing mathematical models for casino games, including RTP, volatility, and overall game behavior. Creating math for original titles for digital or land-based games. * Producing ...

Progressive Gaming

Game Mathematician I

Chicago, IL

$70K - $80K/yr

Designing and developing mathematical models for casino games, including RTP, volatility, and overall game behavior. Creating math for original titles for digital or land-based games. * Producing ...

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Full Time Mathematical Modeling information

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$27.5K

$56.7K

$60.5K

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

As of Aug 22, 2026, the average yearly pay for full time mathematical modeling in the United States is $56,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 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.
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Cities with the most Full Time Mathematical Modeling job openings:

What are the most commonly searched types of Mathematical Modeling jobs?

The most popular types of Mathematical Modeling jobs are:

What job categories do people searching Full Time Mathematical Modeling jobs look for?

The top searched job categories for Full Time Mathematical Modeling jobs are:

Full Time Mathematical Modeling jobs near you
Infographic showing various Full Time Mathematical Modeling job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $56,723 per year, or $27.3 per hour.

Postdoctoral Fellow - Radiation Oncology - Research

MD Anderson

Houston, TX • On-site

$64K - $76K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 9 days ago

MD Anderson Cancer Center rating

8.5

Company rating: 8.5 out of 10

Based on 172 frontline employees who took The Breakroom Quiz

14th of 891 rated healthcare providers

Job description

A position is available immediately in the area of mathematical and computational oncology, with special emphasis on biological radiotherapy response dynamics. The laboratory has identified novel mathematical modeling biomarkers to predict patient-specific responses to radiation. These models need to be rigorously calibrated and validated against clinical data, and model selection needs to be performed before prospective clinical translation. Research will be conducted in both mathematical and computational models, and rigorous analysis of model performance against clinical benchmarks.
The primary purpose of the Postdoctoral Fellow is to assist the Principal Investigator and other Faculty members with scientific research projects. The primary activity of this position is academic research in association with a faculty member or team.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
1.) Develop, implement, and solve mathematical and computational model of tumor growth and treatment response.
3.) Familiarity with MatLab and R is preferred. Ideal candidates would possess experience in multiple programming environments and statistical analyses.
4.) Training and supervising other research personnel on techniques and procedures
5.) Maintenance of laboratory safety procedures and records and facilities
6.) Collect, analyze, plot data using appropriate software applications, store and record data on computer and lab notebooks
6.) Assist in writing of scientific papers for publication, grant applications and presentations at scientific meetings
7.) Other duties as assigned
ELIGIBILITY REQUIREMENTS
Required: Ph.D. or equivalent doctorate
Experience
Required: At least 3 years of experience in mathematical modeling research work
Preferred: Experience and proven scholarship in peer-reviewed publications as a first author and presentations at major meetings.
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

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