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Meteorology Computer Science Jobs in Lorton, VA (NOW HIRING)

Core4ce

Operations Liaison

Springfield, VA · On-site

$145K - $166K/yr

... Computer Science, Civil Engineering, Electrical Engineering Geology, Geological Sciences, Hydrodynamics, Material Science, Mechanical Engineering, Medical Science, Meteorology, Nuclear Engineering ...

Core4ce

Operations Liaison

Springfield, VA

... Computer Science, Civil Engineering, Electrical Engineering Geology, Geological Sciences, Hydrodynamics, Material Science, Mechanical Engineering, Medical Science, Meteorology, Nuclear Engineering ...

US Department of the Army

Geographer

Alexandria, VA

$102K/yr

... meteorology, economics, statistics, sociology, anthropology, political science, history, cartography, computer science, urban studies, or planning that included at least 24 semester hours in ...

U.S. Army Corps of Engineers

Geographer

Alexandria, VA · On-site +1

$102K - $158K/yr

... meteorology, economics, statistics, sociology, anthropology, political science, history, cartography, computer science, urban studies, or planning that included at least 24 semester hours in ...

All JobsMeteorology Computer Science JobsMeteorology Computer Science Jobs in Lorton, VA

Meteorology Computer Science information

See Lorton, VA salary details

$37.4K

$97.4K

$123.4K

How much do meteorology computer science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for meteorology computer science in Lorton, VA is $97,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,600.00 and $99,600.00 per year, depending on experience, location, and employer.

How do meteorology computer scientists typically collaborate with atmospheric scientists and data analysts on weather prediction projects?

Meteorology computer scientists frequently work in multidisciplinary teams, partnering closely with atmospheric scientists to understand weather phenomena and with data analysts to interpret large datasets. They often develop and optimize algorithms for weather models, ensuring that these models accurately incorporate scientific insights and are computationally efficient. Collaboration usually involves regular meetings to discuss model updates, troubleshoot issues, and analyze results, fostering a dynamic environment where expertise from different fields contributes to more accurate weather forecasting. This teamwork not only enhances project outcomes but also provides valuable opportunities for professional growth and learning.

What are the key skills and qualifications needed to thrive as a meteorology computer scientist?

To excel as a Meteorology Computer Scientist, you need a strong background in computer science, data analysis, and atmospheric science, typically supported by a degree in meteorology, computer science, or a related field. Proficiency in programming languages like Python, Fortran, or C++, as well as experience with numerical weather prediction models and data visualization tools, is essential. Strong problem-solving skills, attention to detail, and effective teamwork are critical soft skills for collaborating on complex modeling projects. These abilities are crucial for developing accurate weather models and ensuring reliable forecasts that inform public safety and planning.

What is meteorology computer science?

Meteorology computer science is an interdisciplinary field that combines principles from meteorology (the study of weather and climate) with computer science techniques. Professionals in this area use programming, data analysis, simulation, and machine learning to model atmospheric phenomena, process large weather datasets, and improve forecasting methods. This field is crucial for advancing weather prediction, climate modeling, and environmental monitoring by leveraging computational power and algorithms.

What is the difference between Meteorology Computer Science vs Meteorology Data Analysis?

AspectMeteorology Computer ScienceMeteorology Data Analysis
Required CredentialsBachelor's or higher in Computer Science, Meteorology, or related fields; programming skillsBachelor's or higher in Meteorology, Atmospheric Science, or related fields; data interpretation skills
Work EnvironmentResearch labs, tech companies, government agencies; focus on software and systemsWeather stations, research centers, forecasting offices; focus on data collection and analysis
Employer & Industry UsageTech firms, meteorological agencies, research institutionsWeather services, environmental agencies, research organizations

While Meteorology Computer Science emphasizes software development, programming, and system management within meteorology, Meteorology Data Analysis focuses on interpreting weather data to produce forecasts and reports. Both roles often collaborate but serve different core functions in meteorological work.

What cities near Lorton, VA are hiring for Meteorology Computer Science jobs? Cities near Lorton, VA with the most Meteorology Computer Science job openings:
Meteorology Computer Science jobs near you
Infographic showing various Meteorology Computer Science job openings in Lorton, VA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $97,355 per year, or $46.8 per hour.

Physical Scientist and Warn-on-Forecast System Developer

Lynker Corporation

College Park, MD • On-site, Remote

$78K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

Overview
Lynker is seeking two talented physical scientists to support development and operational transition of NOAA's Warn-on-Forecast Systems (WoFS) under the Precipitation Prediction Grand Challenge (PPGC) program at the National Weather Service Office of Modeling and Development. The successful candidates will support the operational transition of the cloud-based WoFS version 1 which is built on the Weather Research and Forecasting (WRF) model and the Gridpoint Statistical Interpolation (GSI) data assimilation system, ensuring the system meets operational implementation requirements, expanding the system to provide domains beyond the CONUS region, while improving forecast of extreme precipitation events and other high impact weather such as tornadoes. The candidates will also collaborate with the National Severe Storm Laboratory (NSSL) and other partners on the development of next generation of WoFS (i.e., version 2) based on the Model for Prediction Across Scales (MPAS) and the Joint Effort for Data Assimilation Integration (JEDI) system.
Responsibilities
Successful candidates for this position will support the operational transition of WoFSv1 and the development of WoFS v2 within a cloud environment, focusing on model development, system integration, testing and optimization, and transition of WoFS v1 capabilities into NWS operations.
Duties of the Physical Scientist and Warn-on-Forecast System Developer will include the following:
  • Harden the cloud-based WoFSv1 system to meet the NWS NCO operational implementation requirements and support its operational transition.
  • Conduct rigorous model performance evaluations, benchmarking (WoFSv1 vs. WoFSv2), as well as retrospective and real-time simulations to evaluate forecast skills, operational readiness, and overall system value.
  • Expand the system's geographical scope by developing the capability to run WoFS outside the CONUS domain.
  • Develop new WoFS products and metrics for a wider range of high-impact weather hazards beyond severe convection, leveraging forecasters input.
  • Support the development and testing of the MPAS-JEDI-based WoFS v2 prototype.
  • Develop a robust, unified end-to-end workflow for the WoFSv2 system, integrating all components: model input preprocessing, data assimilation, forecasting, post-processing, product generation, and visualization.
  • Establish, maintain, and manage GitHub repositories to support version control and code development.

Qualifications
The Ideal Physical Scientist and Warn-on-Forecast System Developer will have the following:
  • Education: M.S or higher in Atmospheric Science, Meteorology, Computer Science, Software Engineering, or a closely related field.
  • Advanced knowledge of Numerical Weather Prediction (NWP) modeling of convective and mesoscale meteorology, ensemble data assimilation, and atmospheric physics and dynamics.
  • Experience in developing weather forecasting systems built on WRF and MPAS
  • Experience in software development, code management (e.g., GitHub), and integrating complex modeling and data assimilation components.
  • Experience assimilating weather radar, satellite, conventional, mesonet and conventional observations with GSI or JEDI to improve initial conditions for rapid-fresh, convection-allowing ensemble short-range weather prediction systems is preferred.
  • Programming Skills: Strong proficiency in Fortran and modern scripting languages, particularly Python (including scientific packages for AI/ML training and verification).
  • Experience working within cloud High Performance Computing environments is highly desired.
  • Communication: Excellent oral and written communication skills with a proven ability to work both independently and within a multi-disciplinary team.

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.
⚠ Fraud Alert: Recruitment Scam Warning: Lynker has been made aware of fraudulent individuals posing as Lynker recruiters and offering fake job opportunities. All legitimate Lynker job postings are listed on our official careers page. Communication from Lynker recruiters will come from an official @lynker.com email address.

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