Physical Scientist and Warn-on-Forecast System Developer

About the role

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.

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 forecaster 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

• 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.
• 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.
• Excellent oral and written communication skills with a proven ability to work both independently and within a multi-disciplinary team.

Qualifications

• None specified

Skills

• None specified

Benefits

• Comprehensive healthcare for the employee at no monthly cost
• 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

Pay

Negotiable

Schedule

Full-time