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Satellite Data Assimilation Scientist

Job ID: 2216035
Location: COLLEGE PARK, MD, United States
Date Posted: Oct 27, 2022
Category: Engineering and Sciences
Subcategory: Scientist
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Public Trust
Potential for Remote Work: Hybrid Remote
Benefits: Click here

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Job Description


SAIC is looking for a Satellite Data Assimilation Scientist to support a candidate 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 satellite data assimilation for future operational applications of the Unified Forecast System (UFS).  The work location is at the NOAA Center for Weather and Climate Prediction (NCWCP) in College Park, MD. Note:  This Hybrid role allows for 1-2 days per week to work remotely.


Work with EMC scientists and external collaborators to develop innovative all-sky/all-surface satellite radiance data assimilation capabilities for use in applications of the UFS, with emphasis on global numerical weather prediction for the medium range weather application.  In particular, the radiance assimilation component will utilize the Community Radiative Transfer Model (CRTM).  Future assimilation related developments will leverage and contribute to the Joint Center for Satellite Data Assimilation, including the Joint Effort for Data assimilation Integration (JEDI) project.

Job responsibilities to include, but not limited to:

  • Develop new or enhance existing techniques for the improved assimilation of satellite radiance data in all sky conditions and over heterogeneous surface conditions
  • sky/all-surface” satellite radiances for use in operational environmental prediction capabilities at NCEP. 
  • Prepare, design, and advance components to enable the assimilation of data for future satellite missions for all-sky/all-surface radiances
  • Design, setup, and execute impact assessment and pre-implementation testing to facilitate possible transition to operations
  • Improve upon quality control, bias correction, and/or observation error specification to enhance the assimilation of all-sky/all-surface satellite radiance data



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.
  • Knowledge of data assimilation with focus on the satellite radiance assimilation for numerical weather prediction. 
  • Knowledge of the physical and mathematical basis of geophysical modeling (atmospheric and/or environmental) and experience running advanced numerical weather prediction (NWP) models
  • Advanced knowledge of radiative transfer and experience with radiative transfer modeling for data assimilation, such as the Community Radiative Transfer Model (CRTM) or Radiative Transfer for TOVS (RTTOV)
  • Knowledge and 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 English communication skills, both verbally and in writing.

Desired Experience:

  • Experience in running numerical models on High Performing Computer (HPC) platforms using MPI, OpenMP, Slurm, LSF, etc.
  • Familiarity with variational data assimilation techniques.
  • Familiarity with the assimilation of satellite radiances impacted by clouds and precipitation.
  • Experience with coupled earth system models.
  • Knowledge of modern software engineering practices (requirements gathering, design, prototyping, version control, integration, testing, and documentation).

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.


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 For ongoing news, please visit our newsroom.

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