Description
SAIC is seeking a JEDI Data Assimilation Scientist to support the Environmental Modeling Center (EMC) of the National Centers for Environmental Prediction (NCEP) in carrying out research, development, and operational transition work related to atmospheric data assimilation for future operational applications of the Unified Forecast System (UFS). The JEDI Data Assimilation Scientist’s work will involve the development, execution, testing, and evaluation of several components of the atmospheric data assimilation system in the context of numerical weather prediction.
Note: The work location is at the NOAA Center for Weather and Climate Prediction (NCWCP) in College Park, MD. This hybrid role does offer the ability to work from home 2-3 days per week.
Job responsibilities to include, but not limited to:
- Focus on the evaluation of the components of the Joint Effort for Data assimilation Integration (JEDI) project for use in global numerical weather prediction applications at NCEP.
- Assist in development, evaluation, testing, and transition of JEDI-based developments for replacement of current atmospheric assimilation infrastructure (GSI-based).
- Develop and support atmospheric model interface within the JEDI infrastructure.
- Test and evaluate JEDI-based algorithm developments for use in future operational NWP applications.
- Assist in coordination of JEDI-related development activities from other EMC developers.
- Utilize JEDI infrastructure to explore data assimilation research activities relevant to future transition-to-operations of operationally relevant data assimilation research.
- Work with EMC scientists and external collaborators to develop and test atmospheric data assimilation components for use in the UFS.
Qualifications
Required Education and Experience:
- Bachelor’s Degree and two (2) years or more experience; OR Master’s Degree and zero plus (0+) years or more experience
- US Citizen or Green Card holder with the ability to obtain a NACI clearance. For the Green Card holder to qualify for the clearance they must have lived in the US for a minimum 3 years prior to application. An EAD is not accepted.
- Experience with data assimilation techniques (variational-based and/or ensemble methods)
- Experience with the physical and mathematical basis of geophysical modeling (atmospheric and/or environmental) and experience running advanced numerical weather prediction (NWP) models
- Experience of modern programming languages such as object-oriented FORTRAN, Python, and/or C++
- Experience working in a UNIX environment with advanced scripting languages
- Good oral and written communication skills in English
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.