Physical Scientist and Warn-on-Forecast System Developer

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 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 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 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 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 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. #J-18808-Ljbffr