Physical Scientist and Warn-on-Forecast System Developer

Lynker Corporation

$90K — $120K *
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • M.S. or higher in Atmospheric Science, Meteorology, Computer Science, or related field
  • Advanced knowledge in Numerical Weather Prediction and atmospheric physics
  • Experience developing forecasting systems using WRF and MPAS
  • Proficient in code management with tools like GitHub
  • Strong programming skills in Fortran and Python, especially for AI/ML applications
  • Experience in cloud-based High Performance Computing environments

Responsibilities

  • Harden WoFSv1 system for NWS operational requirements
  • Conduct model performance evaluations and benchmarking between WoFSv1 and v2
  • Expand geographical capabilities for WoFS beyond CONUS
  • Develop new forecasting products for various high-impact weather events
  • Support prototype development for the MPAS-JEDI-based WoFS v2
  • Create an end-to-end workflow for the WoFSv2 system
  • Manage GitHub repositories for version control and development

Benefits

  • Comprehensive healthcare at no monthly cost
  • Covers medical, prescription, dental, and vision needs
  • Generous PTO policy alongside paid holidays
  • 401(k) plan with company-matching contributions
  • Employee Stock Ownership Plan (ESOP)
  • Flexible spending accounts for additional savings
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance for professional development
  • Spot bonuses for outstanding performance and annual recognition awards
  • Access to a centralized Learning Management System for personal development
  • Personalized career growth plans for employees
Full 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.


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

Similar Jobs

More Jobs at Lynker Corporation

More Education, Government & Non-Profit Jobs

Find similar Physical Scientist and Warn-on-Forecast System Developer jobs: