JEDI Data Assimilation Scientist

Job Description

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 Office in  Boulder, CO.  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

Target salary range: $75,001 - $100,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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.

Overview

SAIC® is a premier Fortune 500® technology integrator driving our nation's technology transformation. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in engineering, digital, artificial intelligence, and mission solutions. Using our expertise and understanding of existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions that are critical to achieving our customers' missions.

We are approximately 26,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer, fostering a culture of diversity, equity, and inclusion, which is core to our values and important to attract and retain exceptional talent. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.4 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.