Scientific Programmer for Remote Sensing Applications (GS26091008)

Global Science & Technology, Inc.

• $130K — $170K *
US-AnywhereRemote in College Park, MD
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in a quantitative field (Physics, Math, Statics, Remote Sensing, Oceanography, Meteorology) or an MS with relevant experience.
  • Strong knowledge of remote sensing, satellite, and oceanographic data.
  • Proficiency in programming languages: C++, Fortran, and Python.
  • Experience with multi-threaded programming tools (openMP, MPI, Cuda).
  • Experience applying machine learning with PyTorch or TensorFlow.
  • Familiarity with data formats like netCDF4, HDF5, and Zarr.
  • Experience with Linux OS and tools like SSH.

Responsibilities

  • Develop and maintain science code for SST datasets from various satellite sensors.
  • Implement improved cloud masking and SST retrieval algorithms.
  • Create error characterization algorithms based on scientific principles.
  • Conduct independent research while collaborating with team members.
  • Deliver peer-reviewed publications and software products.
  • Utilize scientific computing techniques effectively.

Benefits

  • Opportunities for long-term tenure based on performance.
  • Collaborative work environment with SST scientists and software developers.
  • Engagement with cutting-edge technology and contemporary scientific issues.
Full Job Description
Position Summary:

The successful candidate will work with a group of Sea Surface Temperature (SST) scientists and software developers at the Satellite Oceanography and Climatology Division (SOCD) under the NOAA Center for Satellite Applications and Research (STAR). The position is long term, contingent upon performance.

Primary Duties:
  • The individual in this position will be responsible for the development and maintenance of science code for production of SST datasets from multiple low earth orbit and geostationary sensors (e.g., VIIRS, AHI, ABI, AVHRR, MODIS, METimage, FCI).
  • Development and implementation of improved cloud masking, SST retrieval, and error characterization algorithms.
  • This is a scientific position that requires a strong understanding of physical science, mathematics and like all modern science endeavors an understanding of how to perform scientific computing.


Required Education/Experience/Skills:
  • PhD in a quantitative field of research (Physics, Math, Statistic, Remote Sensing, Oceanography, Meteorology) completed by date of hire. An MS with relevant experience working in a similar field will be considered.
  • Knowledge of remote sensing, satellite & oceanographic data, systems, and analyses
  • Proficiency with C++, Fortran, and Python programming languages
  • Experience with multi-threaded programming tools such as openMP, MPI, and Cuda
  • Experience with application of machine learning algorithm using PyTorch or TensorFlow
  • Experience with data formats frequently used by the remote sensing community such as netCDF4, HDF5, HDF4, and Zarr.
  • Familiarity with Linux operating systems and common tools such as SSH
  • Familiarity with the Apache Airflow workflow management platform is a plus
  • Proven list of deliverables (peer-reviewed publications, derived products, software packages, etc.)
  • Willingness and ability to conduct independent research (problem definition, technical solution, coding, publication) while being a team player.
  • Strong scientific analytical skills with detail-oriented working style


Selected applicants will be subject to a government background investigation.

Compensation

Salary at GST is determined by various factors, including but not limited to location, the individual's combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $130,000 to $170,000 (annualized USD). The estimate displayed represents the typical salary range or this position and is just one component of the GST total compensation package for employees.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Definitions: If this position is listed as remote or hybrid, you'll periodically work from a company or client site facility.
  • If this position is listed as onsite, you'll work at the client site - in person, or as needed for the specific role.

Please note, effective 5/7/2025, that as part of the onboarding process for this position, individuals undergoing identity verification for new PIV card issuance, must present a REAL ID compliant form of identification or an equivalent acceptable form.

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