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Atmospheric Modeling Jobs (NOW HIRING)

Staff Scientist

Pasadena, CA · On-site

$59K - $85K/yr

Job Summary This position entails modeling of the atmosphere of Uranus, using Hubble Space Telescope (HST) images as input into radiative transfer models. The ultimate objective is to calculate an ...

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Atmospheric Modeling information

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$29K

$93.6K

$183K

How much do atmospheric modeling jobs pay per year?

As of Sep 12, 2026, the average yearly pay for atmospheric modeling in the United States is $93,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $119,000.00 per year, depending on experience, location, and employer.

What is atmospheric modeling?

Atmospheric modeling is the use of computer-based mathematical models to simulate and predict the behavior of the Earth's atmosphere. These models help scientists understand weather patterns, climate change, air pollution, and other atmospheric phenomena. Atmospheric modeling is essential for making weather forecasts, studying long-term climate trends, and assessing environmental impacts. The field combines physics, chemistry, and data analysis to create simulations that can be used by researchers, meteorologists, and policymakers.

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

To thrive as an Atmospheric Modeler, you need a strong background in atmospheric science, mathematics, and computer programming, often supported by an advanced degree in meteorology or a related field. Familiarity with programming languages like Python or Fortran, experience using atmospheric modeling software (such as WRF or GCMs), and proficiency in data analysis tools are typically required. Critical thinking, problem-solving, and effective communication are important soft skills for interpreting model results and collaborating with multidisciplinary teams. These competencies are crucial for producing accurate forecasts, advancing scientific understanding, and informing policy or operational decisions based on atmospheric data.

What are the main challenges atmospheric modelers face when integrating new data sources into existing models?

Atmospheric modelers often encounter challenges when incorporating new data sources, such as ensuring data quality, consistency, and compatibility with existing model frameworks. Integrating data from various sensors or satellites may require preprocessing to address differences in resolution, timing, or measurement techniques. Additionally, updating models with new data can impact computational efficiency and require recalibration or validation to maintain accuracy. Close collaboration with data scientists and other researchers is common to streamline this process and ensure robust model performance.

What is the difference between Atmospheric Modeling vs Meteorologist?

AspectAtmospheric ModelingMeteorologist
Required CredentialsDegree in atmospheric sciences, meteorology, or related field; often requires programming skillsDegree in meteorology, atmospheric sciences, or related; may include certification or licensing
Work EnvironmentResearch labs, government agencies, or academic institutions; focus on simulations and data analysisWeather stations, media, government agencies; focus on weather forecasting and communication
Industry UsageUsed for climate modeling, weather prediction, and environmental researchUsed for daily weather forecasts, severe weather alerts, and public information

While both roles involve understanding atmospheric phenomena, atmospheric modeling focuses on creating simulations and predictive models using computer algorithms, whereas meteorologists interpret weather data to provide forecasts and public advisories. Both careers require a strong background in atmospheric sciences, but their daily tasks and work environments differ significantly.

Do atmospheric modeling scientists make good money?

Atmospheric modeling scientists typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions may start around $60,000 annually, while experienced professionals can earn over $100,000, especially with advanced skills in programming and data analysis. The field often requires a strong background in atmospheric sciences, computer modeling, and relevant certifications.
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Cities with the most Atmospheric Modeling job openings:

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Infographic showing various Atmospheric Modeling job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $93,625 per year, or $45 per hour.

Ionospheric Scientist and Modeling Lead

Boulder, CO • On-site, Remote

Lynker Corporation
Scientific Research and Development Services • 201 - 500 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Overview

Lyner is seeking a talented Ionospheric Scientist and Modeling Lead.  This scientist will support the NOAA Space Weather Prediction Center (SWPC) in advancing ionosphere and thermosphere models to improve space weather forecasting for communication, navigation, and satellite drag applications. Responsibilities include developing and validating physics-based models, transitioning research capabilities into operations, coordinating with scientists, forecasters, and users, and communicating scientific results through publications and presentations. The position also requires providing scientific leadership by coordinating model development activities across multiple agencies, guiding research priorities, and fostering collaboration across multidisciplinary teams.

The Ionospheric Scientist and Modeling Lead will ideally have a Ph.D. from an accredited institution in Physical Sciences, Atmospheric Science, Space Physics, Engineering, or a related field, and at least five years of experience in research or operational forecasting. The candidate must have expertise in ionosphere and thermosphere modeling, scientific programming (Fortran and Python), model validation, and demonstrated ability to lead and coordinate scientific projects, scientists, and computer programmers.  They must also work effectively in a highly collaborative research-to-operations (R2O) environment.

Responsibilities

Duties of the Ionospheric Scientist and Modeling Lead will include the following:

  • Work within a small dynamic group at SWPC to advance predictive models of the ionosphere and atmosphere to better forecast how space weather might impact communications, navigation, and satellite drag.
  • Engage with the scientific and space weather user community to identify scientific and technical innovations related to ionosphere/atmosphere modeling that could be beneficial to SWPC forecasters and customers.
  • Assess and validate models and applications to establish SWPC priorities.
  • Guide the transition of high-priority models and applications from research to space weather forecasting operations, ensuring that they meet the scientific validation, documentation, and software infrastructure requirements of the Space Weather Prediction Testbed.
  • Pursue external research capabilities that explore new scientific models, observations, or other innovations that have the potential to improve space weather forecasting capabilities.
  • Present results and ongoing efforts through publications in internal reports, presentations at professional meetings, and conferences.
  • Manage and coordinate the activities of the ionospheric modeling group at SWPC.
Qualifications

The Ionospheric Scientist and Modeling Lead selected should have the following:

  • Thorough understanding of the physics and chemistry of the ionosphere and thermosphere
  • Knowledge of space weather physical processes, including the interaction of the solar wind with Earth's magnetosphere and the resulting response of the ionosphere and thermosphere
  • A desire to leverage science in the service of society
  • Ability to work in a mission-focused, operational environment and interest in implementing new products that are appropriate to such an environment (e.g., probabilistic, sector-specific, risk-based forecasts and products)
  • Scientific programming skills and experience, particularly regarding Fortran and Python
  • Skills in analysis and validation of physical models, especially competency and experience in comparing physical model simulations with satellite and ground-based data
  • Knowledge of and experience with the WAM-IPE model or other physics-based Ionosphere-Thermosphere models
  • Demonstrated ability to manage and coordinate a small team of scientists
  • Ability to think critically and make independent decisions
  • Ability to work well in a team
  • Strong communication skills, demonstrated through written documents and oral presentations to audiences with widely varying degrees of sophistication and expertise

The Ideal Ionospheric Scientist and Modeling Lead will have the following:

  • Familiarity with the impacts of space-weather induced ionospheric and atmospheric disturbances on radio wave communications, satellite navigation, or satellite drag
  • Familiarity with the impacts of the lower atmosphere on space weather
  • Experience with data assimilation methodology
  • Familiarity with modern software management paradigms and tools (e.g., GitLab, Docker)
  • Experience with parallel programming/computing and High-Performance Computing
  • Experience developing high-quality and insightful visualizations of scientific datasets

About Lynker

Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:

  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) - we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.

Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.

  Employment Type: FULL_TIME