GD166 Atmospheric Data Support Scientist

Support•Greenbelt, MD

2d•Onsite

About The Position

This Atmospheric Data Support Scientist position requires a motivated and capable scientist to provide end-to-end support for the Goddard Earth Sciences Data and Information Services Center (GES DISC), to facilitate our mission in support of NASA earth data products in particular for those related to atmospheric remotely sensed products using the suite of NASA satellites. These data products include legacy, current and future NASA Earth Science mission data (satellite and modeling), and discipline-related products. The Atmospheric Data Support Scientist responsibilities will include understanding the currently archived data at GES DISC (data formats and associated metadata), developing scientific applications such as algorithms for generating value-added products and applications to support advanced services that can be plugged into existing visualization and analysis systems, and developing tools to support interoperability for discovering, accessing, customizing, viewing, and analyzing data. We are seeking an innovative Atmospheric Scientist with a strong background in applied sciences to join our research team. Applied science focus areas include, but are not limited to, air quality modeling, atmospheric chemistry, and climate impact assessments. Candidates must possess a Master’s or Ph.D. in Atmospheric Science, with a specific academic or research focus on meteorology and climatology. The ideal applicant will demonstrate a proven ability to efficiently process and analyze remote sensing datasets using programming languages such as Python. Core responsibilities require extensive, hands-on experience utilizing both satellite remote sensing observations and model data, coupled with the ability to translate complex findings into accessible scientific articles targeted at non-technical audiences. Position responsibilities will also include developing extensive documentation on the data products and services, providing user-focused support, and supporting the GES DISC user outreach efforts. The Atmospheric Data Support Scientist applicant is expected to solve complex algorithm or data conversion problems with little or no oversight and have the ability to respond effectively to science data user questions on technical and scientific issues, provide technical and scientific support in enhancing and extending data and information services. As such, excellent communication skills (written and oral) are a must. The candidate will also have demonstrated capability and interest to learn and apply new technologies to tasks at hand and commensurate familiarity with common data formats, data analysis tools, and relevant programming languages ( HDF/HDF-EOS, GRADS, netCDF, IDL, Python, Perl, Fortran, C ).

Requirements

Master’s or Ph.D. in Atmospheric Science, with a specific academic or research focus on meteorology and climatology.
Proven ability to efficiently process and analyze remote sensing datasets using programming languages such as Python.
Extensive, hands-on experience utilizing both satellite remote sensing observations and model data.
Excellent communication skills (written and oral).
Demonstrated capability and interest to learn and apply new technologies to tasks at hand.
Commensurate familiarity with common data formats, data analysis tools, and relevant programming languages (HDF/HDF-EOS, GRADS, netCDF, IDL, Python, Perl, Fortran, C).
M.S./PhD in Earth or Environmental Sciences, hydrology, civil engineering, or related physical or atmospheric related science, engineering.
Satellite remote sensing experience with 3+ years hands on experience supporting satellite based mission data and products.
4+ years related experience; scientific programming experience and skill with use of languages such as (Python, IDL, GRADS, perl, C, Fortran) and data formats HDF/HDF-EOS, HDF5, netCDF4, GRIB, and metadata.
Excellent inter-personal and communications skills.
Motivated individual with a keen sense for problem solving and ability to work with little supervision and as part of a team.
US Citizenship or Permanent Residency (LPR) required, with residency in the US for the past consecutive 3 years is required.
Ability to obtain and maintain a Tier 1 Investigation through NASA.

Nice To Haves

Prior experience working with radar data and Global Navigation Satellite System (GNSS) measurements is highly desirable.
Experience in an operational data center or with large data storage systems.
Self-motivated individual with experience or interest in leading projects.
Experience with proposal writing and development is a plus.
Familiarity with UNIX/Linux environment.
Experience visualizing scientific data or presentation of data for outreach or to a larger user community.

Responsibilities

Provide end-to-end support for the Goddard Earth Sciences Data and Information Services Center (GES DISC).
Facilitate the mission in support of NASA earth data products, particularly those related to atmospheric remotely sensed products using NASA satellites.
Understand currently archived data at GES DISC, including data formats and associated metadata.
Develop scientific applications such as algorithms for generating value-added products.
Develop applications to support advanced services that can be plugged into existing visualization and analysis systems.
Develop tools to support interoperability for discovering, accessing, customizing, viewing, and analyzing data.
Translate complex findings into accessible scientific articles targeted at non-technical audiences.
Develop extensive documentation on data products and services.
Provide user-focused support.
Support GES DISC user outreach efforts.
Solve complex algorithm or data conversion problems with little or no oversight.
Respond effectively to science data user questions on technical and scientific issues.
Provide technical and scientific support in enhancing and extending data and information services.
Learn and apply new technologies to tasks at hand.
Experience leading small projects from inception through execution.
Ability to work in a multi-task environment.