Satellite Observational Data Assimilation Scientist

Job Description

Description

SAIC is looking for 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 of ingest, processing, quality control, and handling of environmental observations. The work location is at the NOAA Center for Weather and Climate Prediction (NCWCP) in College Park, MD.

Responsibilities

The candidate will perform the job duties in a collaborative environment, assisting developing and applying innovative methods for the primary work areas described below. The candidate will work with EMC observation processing and ingest scientists, assisting with enhancement, testing, routine application, and maintenance of environmental observation data to support data assimilation, model development, verification, and validation activities at NCEP. Additional responsibilities will include contributing to the observation processing reengineering effort, including the adaptation of Joint Effort for Data assimilation Integration (JEDI) software components.

The successful candidate will work in the following areas:

• Contribute to design and execution of an improved system for handling observational data at NCEP.
• Ensure flow of observational data for current and future types of data for operational use continues uninterrupted.
• Assist in maintenance of historical data of earth system observations (atmospheric, oceanic, ice, wave, land/hydrology, and atmospheric composition).
• Contribute to JEDI-based capabilities to enable observation processing and ingest.

Qualifications

Qualifications:

Bachelors Degree and two plus (2+); Masters Degree and zero plus (0+) years of experience and demonstrated knowledge, skills and abilities in the following areas:

Required:

• Knowledge of environmental observations for use in data assimilation and geophysical modeling
• Knowledge of the physical and mathematical basis of geophysical modeling (atmospheric and/or environmental) and experience running advanced numerical weather prediction (NWP) models
• 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 oral and written communication skills in English

Desired:

• Experience in running numerical models on High Performing Computer (HPC) platforms using MPI, OpenMP, Slurm, LSF, etc.
• Knowledge of modern software engineering practices (requirements gathering, design, prototyping, version control, integration, testing, and documentation).

Candidates must be a U.S. Citizen or Green Card Holder to qualify and must live in US for 3-5 years prior to application

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 more than 26,500 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer, fostering a respectful work culture based on diversity, equity, and inclusion that values all contributors. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.1 billion. For more information, visit saic.com.