You are viewing a preview of this job. Log in or register to view more details about this job.

Atmospheric Data Programmer

The EPA National Student Services Contract has an immediate opening for a full-time contractor position; Atmospheric Data Programmer with the Office of Research and Development at the EPA facility in Research Triangle Park, NC.

Salary: $30.76 per hour.

Travel: No overnight travel will be required.  

Required Skills:

  • Experience in coding scientific software and/or computational methods;
  • Experience with programming in at least two of the following and proficiency in at least one of the following: FORTRAN, Python, and R;
  • Experience working with output data sets from atmospheric or environmental models and/or geospatial data, including specific knowledge of netCDF;
  • Experience with Linux;
  • Experience with Git and GitHub;
  • Demonstrated ability to work independently, proactively, and remotely with minimal supervision; and
  • Strong written, oral, and electronic communication skills.

Desired Skills:
  • Experience with regional or global atmospheric models (such as CMAQ, WRF, or MPAS) is desired but not required;
  • Experience with and knowledge of atmospheric radiative transfer models (such as RRTMG) is desired but not required;
  • Experience with programming AI techniques is desired but not required; and
  • Experience with parallel programming is desired but not required.

  • Be at least 18 years of age and
  • Have earned at least a Master’s degree in atmospheric science, physical science, engineering, statistics, mathematics, computer science, or a related scientific or technological field from an accredited university or college within the last 24 months and
  • Be a citizen of the United States of America or a Legal Permanent Resident.

EPA ORD employees, their spouses, and children are not eligible to participate in this program.

What the EPA project is about

The Office of Research and Development at the EPA supports high-quality research to improve the scientific basis for decisions on national environmental issues and help EPA achieve its environmental goals. Research is conducted in a broad range of environmental areas by scientists in EPA Centers and at universities across the country.

The Center for Environmental Measurement & Modeling (CEMM) conducts research to advance EPA’s ability to measure and model contaminants in the environment, including research to provide fundamental methods and models needed to implement environmental statutes. Within CEMM, the Atmospheric & Environmental Systems Modeling Division (AESMD) conducts research to advance EPA’s ability to characterize atmospheric and environmental processes that impact the transport, transformation, and fate of environmental contaminants in the air and the multimedia linkages of air pollutant emissions in support of the Clean Air Act and the Clean Water Act.

As part of their mission, AESMD supports EPA’s mission to protect human health and the environment by developing, evaluating, and applying state-of-the-science modeling tools that are used to manage air quality at local, state, regional, and global scales. Models developed by AESMD estimate the contributions of various air emission sources to ambient air pollution and inform human/ecological exposure and effects assessment. The AESMD staff consists of atmospheric scientists, meteorologists, hydrologists, physical scientists, computational chemists, chemical engineers, computer scientists, and statisticians.

The Community Multiscale Air Quality Modeling (CMAQ) system ( is an active open-source development project of the U.S. EPA that consists of a suite of programs for conducting air quality model simulations across a range of spatial and temporal scales. CMAQ combines current knowledge in atmospheric science and air quality modeling, multi-processor computing techniques, and an open-source framework to deliver fast, technically sound estimates of ozone, particulates, toxics, and acid deposition. Several aspects of the software (including some of the auxiliary programs) will be improved using the student’s expertise. The student shall gain experience and knowledge by assisting AESMD staff with various aspects of atmospheric model development, testing, and applications.

This is an excellent opportunity for a recent Master’s graduate to collaborate with EPA’s research team. Research experience includes:

  • Merging software changes into a common repository
  • Exploring artificial intelligence (AI) approaches to improve air quality simulations
  • Interacting with state-of-the-science modeling of radiation, cloud, and aerosol from global-to-local spatial scales to improve air quality simulations
  • Networking and exploring many career paths at EPA.
Interested in this research opportunity? If so, follow the link below to apply. Questions? Email