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NASA Research Scientist

Job ID: 2111143
Location: GREENBELT, MD, United States
Date Posted: Sep 25, 2021
Category: Engineering and Sciences
Subcategory: Research Scientist
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10 % of the Time
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Public Trust
Potential for Remote Work: No
Benefits: Click here

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Job Description

Description

 

Job Description:

 

SAIC seeks to hire a Scientific Programmer Analyst to support the Hydrological Sciences Laboratory (HSL) at NASA Goddard Space Flight Center in Greenbelt, MD.  Successful candidate will participate/lead in the design and implementation of a soil moisture-based agricultural yield forecasting system. Key responsibilities include the management of remote sensing, modeled and reference datasets, system design and functional testing of the software. The candidate should have experience with remote sensing datasets, structured programming, computing platforms and environments and experience/interests in land surface modeling, visible/near infrared, and microwave remote sensing, agricultural mapping/forecasting, statistics, and/or land data assimilation. A good knowledge of earth science data formats is expected and experience in working with satellite datasets is needed. The candidate must also be knowledgeable in visualization/analysis packages and software such as python, GrADS, NCL, IDL, Matlab and GIS. It is desirable that the incumbent has a MS/PhD in computer science, geophysics, hydrology, or related disciplines.  The individual should have good communication (written and oral) skills. Experience in project coordination and writing and reviewing technical reports is also expected.

Qualifications

TYPICAL EDUCATION AND EXPERIENCE: 

MS/PhD in computer science, geophysics, hydrology, or related disciplines. 

The candidate should have experience with remote sensing datasets, structured programming, computing platforms and environments and experience/interests in land surface modeling, microwave remote sensing and/or land data assimilation. A good knowledge of earth science data formats is expected and experience in working with satellite datasets is needed. The candidate must also be knowledgeable in visualization/analysis packages and software such as python, GrADS, NCL, IDL, Matlab and GIS. The individual should have good communication (written and oral) skills. Experience in project coordination and writing and reviewing technical reports is also expected.


COVID Policy: Prospective and/or new employees will be required to adhere with SAIC's vaccination policy. Full vaccination will be required before the start of employment in order to work onsite at an SAIC location. If applicable, prospective or new employees may seek an exemption to the vaccination requirement at Contact Us and must have an approved exemption prior to the start of their employment. Employees working onsite at a customer location must comply with customer requirements which may include mandatory vaccination, mandatory attestation regarding one's vaccination status and mandatory weekly or bi-weekly testing.


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.

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