Earth System Land Model Scientist

Job Description

Description

SAIC is seeking an Earth System Land Model Scientist to support the Environmental Modeling Center (EMC) of the National Centers for Environmental Prediction (NCEP) for the development of land model physics parameterizations as part of the Unified Forecast System for regional short-range, global medium-range weather and global sub-seasonal to seasonal climate predictions.

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:

• Development and implementation of land model physics parameterizations within the Common Community Physics Package (CCPP)
• Testing and evaluation of land model parameterizations in land-only and single column model configurations, in the global atmospheric model, and in the fully-coupled earth system model to improve representations of land-related physical processes, and their interactions with other model physics, in the Unified Forecast System.
• Perform the job duties in an independent, collaborative and initiative way, applying innovative methods for the primary work areas.
• Work with others on the global forecast system improvements and for transition-to-operations, and will also work with external collaborators to develop and improve atmospheric physics parameterizations for use within the Unified Forecast System framework.

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 in land model evaluation, data post-processing and statistical analysis including accuracy and uncertainty analysis, especially at the land process level.
• Experience working in a UNIX environment with advanced shell scripting languages and familiar with running complex jobs.
• Familiarity with modern software development practices, particularly the GitHub/Git version control software and environment.
• Advanced skills and knowledge of modern programming languages and object-oriented languages, such as FORTRAN and Python.
• Knowledge of earth system modeling and land-atmosphere interactions with demonstrated experience in developing land model parameterizations.
• Demonstrated ability to work efficiently in a team environment

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.