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Phd Math Jobs in Colorado (NOW HIRING)

General Atomics

Engineer VII

Englewood, CO · On-site

$128K - $229K/yr

Apply statistical methods and perform mathematical calculations to evaluate strength and dynamic ... Typically requires a bachelors degree, masters degree or PhD in engineering or a related technical ...

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Phd Math information

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$8

$29

$40

How much do phd math jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for phd math in Colorado is $29.22, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $30.82 per hour, depending on experience, location, and employer.

What are PhD Math graduates qualified to do after earning their degree?

PhD Math graduates are equipped for a range of careers that require advanced mathematical knowledge and research skills. Many pursue academic positions as professors or researchers at universities, while others work in industry roles such as data scientists, quantitative analysts, or mathematicians in government and private sectors. Their expertise is valuable in finance, technology, engineering, and consulting, where complex problem-solving and analytical abilities are essential. Additionally, some contribute to interdisciplinary research, policy analysis, or science communication.

What jobs can a math PhD get?

A math PhD can pursue roles such as data scientist, quantitative analyst, research scientist, operations researcher, or university professor. These positions often require strong analytical, programming, and research skills, and may involve working in finance, technology, academia, or government agencies.

What are the key skills and qualifications needed to thrive as a PhD-level Mathematician, and why are they important?

To thrive as a PhD-level Mathematician, you need advanced expertise in mathematical theory, analytical reasoning, and problem-solving, typically supported by a doctoral degree in mathematics or a related field. Familiarity with programming languages (such as Python or MATLAB), mathematical modeling software, and experience with academic research tools are commonly required. Strong communication, perseverance, and collaboration skills help stand out when presenting findings and working in interdisciplinary teams. These competencies are crucial for contributing original research, solving complex problems, and advancing mathematical knowledge in academic or industry settings.

What is the difference between Phd Math vs Data Scientist?

AspectPhd MathData Scientist
Required CredentialsPhD in Mathematics or related fieldBachelor's or Master's in CS, Stats, or Math; often prefers PhD
Work EnvironmentAcademic, research institutions, or R&D departmentsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, governmentBusiness analytics, machine learning, data analysis
Common Search/ComparisonYesYes

While both roles require strong analytical skills, a Phd Math typically focuses on theoretical research and academic or research institution work. In contrast, a Data Scientist applies statistical and mathematical techniques to solve practical business problems in industry settings. The credentials overlap, but the work environment and application focus differ significantly.

Is a PhD in math useful?

A PhD in math is highly valuable for careers in academia, research, data science, and quantitative analysis. It demonstrates advanced problem-solving, analytical skills, and expertise in mathematical modeling, which are sought after in various industries. However, its usefulness depends on career goals and the ability to apply mathematical knowledge practically.

What does a PhD in Mathematics get you?

A PhD in Mathematics qualifies individuals for advanced research, teaching at the university level, and roles in data analysis, quantitative finance, or scientific computing. It demonstrates expertise in complex problem-solving, analytical skills, and often requires proficiency with mathematical software and programming languages.

Do math PhDs make good money?

Math PhDs often pursue careers in academia, research, data science, or finance, where salaries can vary widely. In industry roles such as quantitative analysis or data science, they can earn competitive salaries, often higher than those with only a master's degree, especially with experience and specialized skills. However, academic positions may offer lower pay compared to industry roles.

What are the typical collaborative opportunities for someone in a PhD-level mathematics role?

PhD-level mathematicians often work within interdisciplinary teams, collaborating with professionals in fields like computer science, engineering, economics, and data science. These collaborations usually involve joint research projects, problem-solving sessions, or co-authoring academic papers. Mathematicians may also work closely with industry partners to apply theoretical models to real-world challenges, such as optimizing algorithms or analyzing large data sets. This teamwork fosters both professional growth and the opportunity to see the practical impact of mathematical research.
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What job categories do people searching Phd Math jobs in Colorado look for? The top searched job categories for Phd Math jobs in Colorado are:
What cities in Colorado are hiring for Phd Math jobs? Cities in Colorado with the most Phd Math job openings:
Phd Math jobs near you
Infographic showing various Phd Math job openings in Colorado as of June 2026, with employment types broken down into 83% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $60,775 per year, or $29.2 per hour.
Missile Modeling Kinematics Engineer

Missile Modeling Kinematics Engineer

Qualis LLC

Colorado Springs, CO • On-site

Full-time

Posted 16 days ago

Job description

Qualis LLC is seeking a Missile Modeling Kinematics Engineer in Colorado Springs. This position requires a detail-oriented engineer responsible for understanding Aerodynamic forces; Guidance, Navigation, and Control (GNC) systems; M&S of systems’ kinematics characteristics within the TSE’s model generation framework; and providing documentation required for running threat data in Ground Test architectures. The selected individual must be able to work with little or no direct supervision, work as an integral member of a product delivery team, and meet time-critical delivery schedules. This position will be located on-site at Schriever Space Force Base, in Colorado Springs, CO.

This role requires candidates to be on-site daily with no option for remote/hybrid work.

Essential Functions:


  • Responsible for developing ballistic and advanced/hypersonic kinematic threat models for use in a variety of modeling and simulation tools/frameworks/media
  • Will apply standard engineering and mathematical algorithms to ensure the accurate portrayal of expected missile or space launch vehicle behavioral characteristics during all phases of powered and un-powered flight
  • Will have a good understanding of modeling and simulation methods and processes
  • Will research, interpret, and verify parameters required to build, replicate, and propagate missile or space launch vehicle trajectories including, but not limited to, staging debris, countermeasures, and payload traits
  • Will author highly technical Verification and Validation (V&V) documents
  • Will work with little to no direct supervision, work as an integral member of a product delivery team, and meet time-critical delivery schedules


This requisition may be filled at a higher grade based on qualifications listed below.


This requisition may be filled as either Systems Engineer 1 or Systems Engineer 2.


Basic Requirements:


  • Level 2:
    • Bachelor’s Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline preferred from an accredited university and 5 years of related experience, or a Master’s degree in a STEM discipline and 3 years of related experience, or a PhD and 0 year of experience.
  • Level 1:
    • Bachelor’s Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline preferred from an accredited university and 2 years of related experience, or a Master’s degree in a STEM discipline and 0 years of experience.

Basic Requirements across levels:

  • Must already possess an active DoD Secret clearance
  • Programming background, to include languages such as MATLAB, Python, and LaTex
  • Strong knowledge of the flight characteristics, motion, and performance of ballistic missiles
  • Must be self-motivated and able to work in a dynamic team environment
  • Ability to collaborate with systems engineers, software engineers, users, and MDA ground test stakeholders to ensure product requirements are met
  • Familiar with Computer-Aided Design (CAD) tools and models
  • Experience with V&V of vehicle kinematics simulation results

Preferred Requirements:

  • Strong math, physics, or engineering background
  • Modeling, Simulation, and automation experience
  • Previous experience with modeling flight characteristics, motion, atmospheric dynamics, and missile performance parameters of ballistic missiles
  • Strong background in missile system engineering performance is highly desirable
  • Mastery of engineering modeling principles behind body motion, trajectory generation, counter measures, and debris is a plus
  • Possess an active DoD Secret Clearance with the ability to obtain a DoD Top Secret Clearance


Benefits

Qualis LLC is committed to hiring and retaining a diverse and talented workforce who can contribute to the mission and vision of the Company. Our employees are our greatest asset and we promote a positive work environment, teamwork, professional growth, innovation, community involvement, flexible scheduling and a family-friendly work environment.

Equal Opportunity Employer/M/F/Vet/Disabled and a Participant in E-Verify