SAIC · 5 hours ago
Scientist Senior
SAIC is seeking a highly-skilled and experienced candidate to support the Environmental Modeling Center of the National Centers for Environmental Prediction in the research, development, and operational transition of the Global Chemistry Analysis and Forecast System aerosol data assimilation. The role focuses on advancing the GCAFS aerosol data assimilation system and involves designing, developing, and maintaining advanced data assimilation algorithms, conducting experiments, and ensuring smooth operational transitions.
Information TechnologySecurityService IndustrySoftware
Responsibilities
The candidate will perform their job duties to a high standard, working both independently and collaboratively, focusing on scientific developments that advance GCAFS within the JEDI framework and ensure a smooth transition to operation
Lead the advancement and tuning of the JEDI-based GCAFS aerosol DA system
Design, develop, and maintain advanced DA algorithms in the GCAFS system, focusing on key aerosol species
Conduct comprehensive, long-term cycling data assimilation experiments
Advance the use of observations and quality control in GCAFS
Improve data assimilation and observation diagnostics for GCAFS
Rigorously evaluate GCAFS aerosol analysis and forecast results against independent data, including CAMS, MERRA2 reanalysis
Investigate and resolve GCAFS model and DA issues, using data analysis tools to identify the cause of issues
Advance global workflow for GCAFS, ensuring readiness for both retrospective and real-time experiments
Assist in the operational transition of the GCAFS aerosol DA system
Qualification
Required
Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD and 0 years related experience
Expert knowledge of the physical and mathematical basis of geophysical modeling
Advanced knowledge and hands-on experience with the Joint Effort for Data Assimilation Integration (JEDI) framework
Experience with Python and associated libraries used for data analysis in geosciences
Advanced knowledge and experience of modern programming languages such as object-oriented FORTRAN and/or C++
Experience in model testing and evaluation and/or knowledge of verification principles
Experience working in a UNIX environment with advanced scripting languages
Experience with high-performance computing (HPC) environments and technologies such as MPI and OpenMP
Ability to work independently and in a team environment on complex problems
Good oral and written communication skills in English
Preferred
A Master's Degree or higher in atmospheric sciences, meteorology, physical oceanography, or related physical science with at least 8 years of experience in numerical prediction and data assimilation systems
Knowledge of DA application to aerosols and atmospheric chemistry
Knowledge of aerosol modeling, model physics and emissions tuning
Knowledge of Earth observing systems used for aerosols and chemistry
Knowledge of modern software engineering practices (version control, integration, testing, and documentation)
Experience in running numerical models on High Performing Computer (HPC) platforms using MPI, OpenMP, Slurm, LSF, etc
Demonstrated skill in performing tasks requiring organization and attention to detail
Company
SAIC
SAIC specializes in IT, enterprise IT, engineering, and professional services.
H1B Sponsorship
SAIC has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (18)
2023 (14)
2022 (15)
2021 (10)
2020 (27)
Funding
Current Stage
Public CompanyTotal Funding
$522.13MKey Investors
U.S. Geothermal
2025-09-22Post Ipo Debt· $500M
2010-09-13Post Ipo Equity· $22M
2006-10-13IPO
Recent News
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