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Math Research Jobs in Texas (NOW HIRING)

Shelton School

Math Teacher

Dallas, TX · On-site

$46K - $60K/yr

Shelton is actively involved with research and collaborates with major medical institutions in the ... The Middle School Math Teacher serves as an Advisor, Math Teacher, and guide of students at the ...

Melissa ISD

Certified Math Teacher

Melissa, TX

$20K/mo

Certified Math Teacher for 2026-2027 Position Purpose Under the general supervision of the School ... research. * Organizes and maintains a system for accurate and complete record-keeping, grading, and ...

Melissa ISD

Certified Math Teacher

Melissa, TX

$20K/mo

Certified Math Teacher for 2026-2027 Position Purpose Under the general supervision of the School ... research. * Organizes and maintains a system for accurate and complete record-keeping, grading, and ...

webAI Inc

AI Research Director

Austin, TX · On-site

Strong mathematical foundation in ML optimization and model theory * Experience integrating novel research into production environments * Ability to operate in fast-paced, high-growth startup ...

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$21K

$54.8K

$88K

How much do math research jobs pay per year?

As of Jun 13, 2026, the average yearly pay for math research in Texas is $54,816.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,900.00 and $65,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Math Research position, 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.

Which field is best for research in mathematics?

Research in mathematics spans various fields such as pure mathematics, applied mathematics, and computational mathematics. The best field depends on individual interests and career goals, with applied mathematics often involving collaboration with other sciences and industry, while pure mathematics focuses on theoretical development. Developing strong analytical skills and familiarity with mathematical software are essential for success in any research area.

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 careers that pay well?

Math research careers that tend to pay well include data scientists, quantitative analysts, actuarial scientists, operations research analysts, and financial analysts. These roles often require strong analytical skills, proficiency in programming and statistical tools, and advanced degrees such as a master's or Ph.D. in mathematics or related fields.

What does a math researcher do?

A math researcher investigates mathematical theories, develops new models, and solves complex problems using analytical and computational skills. They often work in academic, government, or industry settings, utilizing tools like programming languages and statistical software to advance mathematical knowledge.

How to become a research mathematician?

To become a research mathematician, typically a Ph.D. in mathematics or a related field is required, along with strong analytical and problem-solving skills. Gaining experience through research projects, publishing papers, and collaborating with other mathematicians is essential, often supported by proficiency in mathematical software and tools. Continuous learning and specialization in a mathematical area are also important for advancing in this career.

What is a Math Research job?

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 Texas? The most popular types of Math Research jobs in Texas are:
What are popular job titles related to Math Research jobs in Texas? For Math Research jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Math Research jobs in Texas look for? The top searched job categories for Math Research jobs in Texas are:
What cities in Texas are hiring for Math Research jobs? Cities in Texas with the most Math Research job openings:
Math Research jobs near you
Infographic showing various Math Research job openings in Texas as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $54,816 per year, or $26.4 per hour.
RESEARCH ENGINEER - SR. RESEARCH ENGINEER - Fatigue & Fracture Engineering

RESEARCH ENGINEER - SR. RESEARCH ENGINEER - Fatigue & Fracture Engineering

Southwest Research Institute - Fulltime

San Antonio, TX

Other

Posted 9 days ago

Southwest Research Institute rating

8.8

Company rating: 8.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

6th of 57 rated research

Job description

Who We Are: We develop and apply advanced computational methods to assess the performance of a variety of engineering materials that are used in a wide range of systems with a particular focus on estimating the life and reliability of high-consequence engineering applications. We seek candidates skilled in analytical and numerical methods that support software development for fatigue crack growth and fracture of metallic materials under sustained and cyclic loading. Most relevant technical areas include damage tolerance, computational mechanics, and computational material science.

Objectives of this Role: Join our team to perform fundamental and applied research through the development of advanced fatigue crack growth for material and structural integrity assessments. Help manage our established software codebases and provide guidance on the technical solutions to solve problems related to practical fatigue crack growth, fracture, and structural integrity assessments. Work within a large team and a software operations framework to write integrate, compile, text and debug source code to support long-term, commercial software programs.

Apply principles in advanced continuum mechanics, numerical methods, materials science, and applied mathematics to solve unique problems using the modern Fortran programming language. Build and apply skills to support contract research programs, develop new technology areas, and interact with government and commercial clients. Daily and Monthly Responsibilities: Provide technical leadership toward the ongoing development and enhancement of fatigue crack growth software programs: NASGRO® and DARWIN®.

Coordinate accuracy, precision, and consistency test campaigns of predictions implemented within high-criticality commercial software. Drive the development of new practical methods to perform damage tolerance assessments. Champion innovations focused on reducing memory footprint, optimizing computational efficiency, and streamlining the analysis of large datasets.

Oversee the resolution of user-reported issues by identifying root causes and implement fixes in a timely manner. Interact with a larger development team to coordinate issue resolution within a large, interconnected, and legacy codebase. Collaborate with clients, stakeholders, and development teams to align the software’s documentation, usage, and evolution with industry demands.

Lead reports and papers on new technical solutions. Lead tasks and projects to completion, ensuring they are delivered within scope, budget, and schedule constraints. Drive improvement initiatives to optimize software development and execution.

Requirements: Requires a Masters degree or a PhD in Mechanical Engineering, Materials Science and Engineering, Structural Engineering, Computational Mechanics, Theoretical and Applied Mechanics, Civil Engineering, Aerospace Engineering, Engineering Mechanics, or similar engineering degree. Those with a Masters require 1 year of experience, those with a PhD require 0 years of experience. 1 years: Experience and/or training in fracture mechanics, fatigue crack growth assessment, continuum mechanics, materials science, applied mechanics, applied mathematics, and mechanical behavior of engineering metals.

Experience and/or training in software development processes for scientific computing, including version control, optimization, software verification, relevant programming languages, and programming assisted by ML/AI tools. Experience in stress-intensity factor solutions, weight function methods, fatigue crack growth algorithms, time-dependent crack growth, small-crack growth mechanisms, threshold, shakedown, rain flow, environmental fatigue, and multi-point computational fracture mechanics. Experience in customer issue resolution, supporting for legacy code and application programming interfaces, and using ML/AI tools to streamline software development, sustainment, documentation, and verification.

Must be able to work onsite at the San Antonio, TX facility. A valid/clear driver's license is required.

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