Scientific Programmer for Remote Sensing Applications (GS26091008)

GTSC-Talent Solutions • College Park, MD

8d • Hybrid

About The Position

GTSC’s Global Sciences and Technology (GST) business unit seeks a Scientific Programmer for Remote Sensing Applications to support NOAA/NESDIS/STAR. The position is based in College Park, Maryland, with teleworking or a weekly hybrid onsite/telework arrangement possible. It is a long-term position contingent upon performance.

The successful candidate will work with Sea Surface Temperature (SST) scientists and software developers in the Satellite Oceanography and Climatology Division (SOCD), within the NOAA Center for Satellite Applications and Research (STAR). The role focuses on developing and maintaining scientific code used to produce SST datasets from multiple low Earth orbit and geostationary sensors, and on developing and implementing improved cloud-masking, SST-retrieval, and error-characterization algorithms. This scientific role requires a strong understanding of physical science, mathematics, and scientific computing.

Requirements

• PhD in a quantitative research field such as Physics, Math, Statistics, Remote Sensing, Oceanography, or Meteorology, completed by the date of hire; an MS with relevant experience in a similar field will be considered.
• Knowledge of remote sensing, satellite and oceanographic data, systems, and analyses.
• Proficiency with C++, Fortran, and Python.
• Experience with multithreaded programming tools such as OpenMP, MPI, and CUDA.
• Experience applying machine-learning algorithms using PyTorch or TensorFlow.
• Experience with remote-sensing data formats such as netCDF4, HDF5, HDF4, and Zarr.
• Familiarity with Linux operating systems and common tools such as SSH.
• A proven list of deliverables, such as peer-reviewed publications, derived products, or software packages.
• Willingness and ability to conduct independent research while working as part of a team.
• Strong scientific analytical skills and a detail-oriented working style.
• Selected applicants will be subject to a government background investigation.

Nice To Haves

• Familiarity with the Apache Airflow workflow management platform.

Responsibilities

• Develop and maintain science code for producing SST datasets from multiple low Earth orbit and geostationary sensors.
• Develop and implement improved cloud-masking, SST-retrieval, and error-characterization algorithms.
• Conduct independent research, including problem definition, technical solution development, coding, and publication.
• Work with SST scientists and software developers in SOCD.

Benefits

• Health, life, disability, financial, and retirement benefits for eligible employees working 30 or more hours weekly.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care for eligible full-time employees working 30 or more hours per week.
• Recognition awards for exceptional performance.

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree