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# Physical Scientist and Seasonal Forecast System Developer

- **Company:** N-Link Corporation
- **Location:** United States
- **Experience:** Starter
- **Contract:** Temporary contract
- **Skills:** Agile Methodology, Artificial Intelligence, Fortran (Programming Language), Github, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Systems Development Life Cycle, Software Organization, Scripting, High Performance Computing, Software Version Control, Programming Languages
- **Published:** October 27, 2026
- **Apply:** https://jobs.military.com/career/376914/physical-scientist-seasonal-forecast-system-developer-maryland-md-college-park

## About the Role

A Master or PhD's Degree or equivalence in atmospheric sciences or meteorology, oceanic, mathematics, or related physical science with 1-2 years of experience in the area of global coupled ensemble forecast system development, sub-seasonal to seasonal prediction, numerical prediction, and/or AI/ML foundational prediction models. Candidates must be a U.S. Citizen or Permanent Resident Card Holder to qualify (please indicate in your cover letter).\n, * Advanced knowledge of S2S prediction and experience in developing ensemble based and coupled SFS for research and operational implementation.\n

 * Development of AI-ML methods for NWP and/or geophysical applications.\n
 * Excellent knowledge and skills of modern programming languages and object-oriented languages, such as FORTRAN and Python.\n
 * Skills and knowledge of the High Performance Computing (HPC) environment with strong scripting capabilities.\n
 * Proficient with modern software development practices and version control software (e.g., Git and GitHub).\n
 * Demonstrated skill in communicating effectively with scientists of diverse backgrounds on technical details of the work plan and present results accurately and clearly in both oral and written form.\n
 * Ability to work independently on complex problems in a team and fast-paced environment and demonstrated skill in performing tasks requiring organization and attention to detail.\n
 * Ability to support team initiatives, demonstrate respect for team members, and seek team consensus.\n, * Familiarity with operational NWP and/or an operational forecasting environment and experience with advanced technical workflows.\n
 * Experience with UFS applications and UFS infrastructure and knowledge of earth system modeling.\n
 * Familiarity with agile software development practices.\n