NASA Research Scientist
SAIC

Job Info

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Job ID: 2111143

Location: GREENBELT , MD , US

Date Posted: 2021-08-19

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

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.
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