Physical Scientist – Warn-on-Forecast System Developer

Lynker

Physical Scientist and Warn-on-Forecast System Developer at Lynker supporting NOAA’s Warn-on-Forecast Systems. Involve in model development, system integration, testing, and optimizing weather forecasting systems.

Posted 6/3/2026full-timeRemote • Maryland • 🇺🇸 United StatesMid-LevelSenior💰 $78,000 - $120,000 per yearWebsite

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

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.
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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Numerical Weather Predictionmodel developmentsystem integrationtestingoptimizationdata assimilationFortranPythonhigh-performance computingweather forecasting systems

Soft Skills

communicationteamworkindependenceproblem-solvingcollaboration