Senior Scientific Application Programmer - Warn-on-Forecast System Developer

About the role

Lynker is seeking a senior scientific application programmer 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 (NWS) Office of Modeling and Development (OMD).

Responsibilities

• Support the operational transition of the cloud-based WoFS Version 1, built on the Weather Research and Forecasting (WRF) Model and the Gridpoint Statistical Interpolation (GSI) data assimilation system.
• Develop, integrate, test, and optimize scientific software to support the operational transition of the cloud-based WoFS Version 1 system.
• Design and maintain workflows that integrate model preprocessing, data assimilation, forecasting, post-processing, product generation, and visualization.
• Implement, test, and optimize new scientific applications and forecast products for high-impact weather prediction.
• Collaborate with the National Severe Storms Laboratory (NSSL) and other partners on the development of the next-generation WoFS (Version 2), based on the Model for Prediction Across Scales (MPAS) and the Joint Effort for Data Assimilation Integration (JEDI).
• Conduct verification, benchmarking, performance evaluation, and retrospective and real-time testing to ensure forecast skill, computational efficiency, and operational readiness.
• Develop and maintain GitHub repositories, software documentation, and version-controlled code to support collaborative scientific software development.

Requirements

• M.S or higher in Atmospheric Science, Meteorology, Computer Science, Software Engineering, or a closely related field.
• Experience in software development, code management (e.g., GitHub), and integrating complex numerical modeling and data assimilation components.
• Experience in 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.
• 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.
• Strong proficiency in Fortran and modern scripting languages, particularly Python (including scientific packages for AI/ML training and verification).
• Experience in working within cloud High Performance Computing environments is highly desired.
• Excellent oral and written communication skills with a proven ability to work both independently and within a multi-disciplinary team.

Qualifications

• Experience in scientific software development, workflow automation, and high-performance computing.
• Knowledge of NWP modeling, ensemble data assimilation, and atmospheric physics and dynamics.
• Experience in developing weather forecasting systems using WRF and MPAS.
• Strong proficiency in Fortran and Python.
• Experience in cloud computing environments.
• Excellent communication skills.

Skills

• Fortran
• Python (with scientific packages for AI/ML)
• Cloud High Performance Computing

Benefits

• Comprehensive healthcare
• Healthcare benefit covers medical, prescription drug, dental, and vision
• Personal Time Off (PTO) Policy plus paid holidays
• Highly competitive compensation plan
• 401(k) retirement plan with company-matching
• Employee Stock Ownership Plan (ESOP)
• 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

Pay

Competitive salary commensurate with experience.

Schedule

Full-time position.