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Applied Math Jobs in Norman, OK (NOW HIRING)

Your math and science skills will be vital to constantly improving the Navy's warfighting ... Space Systems Engineering (Applied Physics) * Computer Science Massachusetts Institute of ...

Your math and science skills will be vital to constantly improving the Navy's warfighting ... Space Systems Engineering (Applied Physics) * Computer Science Massachusetts Institute of ...

Your math and science skills will be vital to constantly improving the Navy's warfighting ... Space Systems Engineering (Applied Physics) * Computer Science Massachusetts Institute of ...

Your math and science skills will be vital to constantly improving the Navy's warfighting ... Space Systems Engineering (Applied Physics) * Computer Science Massachusetts Institute of ...

Applied experience with machine learning on large datasets using Big Data tools such as Apache ... Strong background in modeling large scale discrete, nonlinear or stochastic mathematical ...

Applied experience with machine learning on large datasets using Big Data tools such as Apache ... Strong background in modeling large scale discrete, nonlinear or stochastic mathematical ...

... or Applied Science with emphasis on Industrial Electrical or Electronics Technology; Or Completion of a Vo-Tech program with course work covering electrical theory and Math; Or Certificate in ...

... Applied Science with emphasis on Industrial Electrical or Electronics Technology; Or • Completion of a Vo-Tech program with course work covering electrical theory and Math; Or • Certificate in ...

... Applied Science with emphasis on Industrial Electrical or Electronics Technology; Or • Completion of a Vo-Tech program with course work covering electrical theory and Math; Or • Certificate in ...

Showing results 41-60

Applied Math information

See Norman, OK salary details

$19.7K

$51.4K

$82.6K

How much do applied math jobs pay per year?

As of Sep 3, 2026, the average yearly pay for applied math in Norman, OK is $51,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,300.00 and $61,200.00 per year, depending on experience, location, and employer.

What is an applied mathematician?

Applied mathematicians are professionals who use mathematical theories, techniques, and computational methods to solve practical problems in fields such as engineering, science, business, and industry. They often develop models to analyze real-world phenomena, optimize processes, and predict outcomes. Applied mathematicians may work in diverse areas like data analysis, operations research, finance, and computer science, collaborating with experts from other disciplines to address complex challenges.

What are the key skills and qualifications needed to thrive as an applied mathematician, and why are they important?

To thrive as an Applied Mathematician, you need strong mathematical modeling, analytical, and problem-solving skills, usually supported by a degree in mathematics, applied mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and computational tools is typically required. Excellent communication, teamwork, and critical thinking abilities help translate complex mathematical concepts for diverse audiences and collaborative projects. These skills are vital for developing solutions to real-world problems across industries, ensuring accuracy, innovation, and practical impact.

What are some typical projects or problems an applied mathematician may work on within a multidisciplinary team?

Applied mathematicians often collaborate with experts from fields such as engineering, computer science, and finance to tackle real-world challenges. For example, they might develop algorithms for optimizing logistics and supply chains, create mathematical models to predict disease spread in healthcare, or analyze large data sets to inform business strategies. This collaboration typically involves regular meetings, data sharing, and iterative problem solving, making strong communication skills and adaptability essential for success in the role.

What is the difference between Applied Math vs Data Analyst?

AspectApplied MathData Analyst
Required CredentialsBachelor's or higher in Mathematics, Applied Math, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academia, finance, engineeringBusiness, finance, healthcare, marketing
Industry UsageModeling, simulations, algorithm developmentData interpretation, reporting, visualization
Common Search/ComparisonApplied Math vs Data Analyst

Applied Math and Data Analysts often share skills in statistical analysis and problem-solving. However, Applied Math focuses more on developing mathematical models and algorithms, while Data Analysts primarily interpret and visualize data to inform business decisions. Both roles are vital across industries, but their daily tasks and focus areas differ significantly.

Is applied math a useful degree?

Applied math is a useful degree for careers in data analysis, finance, engineering, and research, as it develops skills in problem-solving, modeling, and quantitative analysis. Graduates often find employment in industries that rely on mathematical and computational tools, and the degree can lead to roles requiring programming and statistical knowledge.

Is applied math in demand?

Applied math professionals are in high demand across industries such as finance, data analysis, engineering, and technology due to their skills in modeling, problem-solving, and quantitative analysis. Employers seek candidates with strong analytical abilities and proficiency in tools like MATLAB, Python, or R, making applied math a valuable and often well-compensated field.

What careers use applied math?

Applied math is used in careers such as data analyst, financial analyst, operations researcher, actuary, engineer, and computer scientist. These roles involve using mathematical models, statistical techniques, and computational tools to solve real-world problems across industries like finance, technology, healthcare, and engineering.

What to do with a degree in applied math?

A degree in applied math prepares individuals for roles such as data analyst, operations researcher, financial analyst, or software developer. It involves skills in problem-solving, statistical analysis, and programming, often utilizing tools like MATLAB, Python, or R. Graduates can work in industries including finance, technology, engineering, and consulting.

What are popular job titles related to Applied Math jobs in Norman, OK?

For Applied Math jobs in Norman, OK, the most frequently searched job titles are:

What job categories do people searching Applied Math jobs in Norman, OK look for?

The top searched job categories for Applied Math jobs in Norman, OK are:

What cities near Norman, OK are hiring for Applied Math jobs?

Cities near Norman, OK with the most Applied Math job openings:

Infographic showing various Applied Math job openings in Norman, OK as of August 2026, with employment types broken down into 57% Full Time, 31% Part Time, 11% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $51,399 per year, or $24.7 per hour.

Research Assistant Professor - Computational Biology or Systems Immunology

Oklahoma Medical Research Foundation

Oklahoma City, OK • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


Job description

Position Overview and Responsibilities
The James/Guthridge Lab (james.omrf.org; guthridge.omrf.org) is hiring a Research Assistant Professor (transitional faculty member) to assist with analysis of large, complex, multi-modal datasets from clinical trials and clinical research protocols. The successful candidate will have training and expertise in computational biology, systems immunology, bioinformatics, biostatistics, machine learning, or related quantitative disciplines to add to one of the nation's leading multidisciplinary autoimmune disease research programs, OMRF Arthritis & Clinical Immunology.

This position offers an exceptional opportunity to become part of a highly collaborative team of physician-scientists, immunologists, computational biologists, geneticists, epidemiologists, and data scientists dedicated to understanding the mechanisms underlying autoimmune diseases and developing strategies to predict, prevent, and treat them.

The successful candidate will leverage large, deeply phenotyped, multi-modal datasets generated from patients with autoimmune diseases and individuals at risk for developing autoimmunity. Available data include high-dimensional molecular, cellular, genetic, genomic, transcriptomic, proteomic, metabolomic, clinical, imaging, and longitudinal biospecimen datasets derived from peripheral blood and disease-relevant tissues. These resources provide outstanding opportunities for integrative analyses, biomarker discovery, mechanistic investigation, disease prediction, and precision medicine.

This is a transitional position for scientists who have completed a graduate degree and an exemplary postdoctoral experience who have been evaluated as being likely to develop high-caliber independent or collaborative projects and to attract extramural grant support. Successful candidates are characterized by considerable experience, highly distinctive competence, and a demonstrated ability to perform both independently and as a critical member of a large multi-disciplinary productive team.
Minimum Qualifications

  • Ph.D. in a biological science, chemistry, physics or other relevant area such as statistics, biostatistics, applied mathematics, epidemiology, and/or M.D., or equivalent and typically two or more years of exemplary postdoctoral experience.
  • Must be a team-player with good organizational and communication skills.
  • Must be able to work independently, as well as highly attentive to detail, and dependable.
  • Must be interested in contributing to the preparation and development of federal and foundation grant applications.


Preferred Qualifications

  • The ability to perform data analysis and visualization using appropriate analytic software programs or through programming in R, Python or other languages.
  • Human Immune response in heath and disease experience or clinical trials experience strongly preferred.
  • At least 5 publications, including publications in high-impact journals.
  • Experience writing parts of successful grant applications.

OMRF Overview
Founded in 1946, the Oklahoma Medical Research Foundation (OMRF) is among the nation’s oldest, most respected independent, nonprofit biomedical research institutes. OMRF is dedicated to understanding and developing more effective treatments for human diseases, focusing on critical research areas such as Alzheimer’s disease, cancer, lupus, multiple sclerosis, and cardiovascular disease. OMRF follows an innovative cross-disciplinary approach to medical research and ranks among the nation’s leaders in patents per scientist.
Located in Oklahoma City, a city that offers a dynamic and flourishing downtown area, with low cost of living, short commute times and a diversified economy, OMRF has been voted one of the Top Workplaces since the inception of the award. This achievement has been accomplished thanks to OMRF individuals who share a unified understanding that our excellence can only be fully realized with a collective commitment to our mission, “. . . so that more may live longer, healthier lives.” Successful candidates will demonstrate commitment to this mission.
OMRF Benefits
We offer competitive salaries and comprehensive benefits to full-time employees including medical, dental, and vision insurance, minimum 8% company retirement contribution, vacation and sick leave, and paid holidays. All employees have access to our onsite café, free onsite fitness center with access to personal trainer, free parking and much more! Relocation assistance available for those located 50 miles outside of Oklahoma City metro. Learn more about our benefits here.
OMRF is an Equal Opportunity Employer.