Atmospheric and Oceanic Chemistry Modeler

Lanham, MD, US

Science Systems and Applications

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Science Systems and Applications, Inc. (SSAI) seeks a talented and goal-oriented Chemistry Modeler to join our team supporting NASA’s Goddard Space Flight Center (GSFC).  The successful candidate will develop, implement, run, and validate numerical models of atmospheric and oceanic chemical processes. This role is critical in advancing our understanding of chemical interactions that influence climate, environmental pollution, and ecosystem health.

Job Responsibilities:

  • Develop, implement, calibrate, and validate numerical models to simulate chemical reactions in Earth system components such as the atmosphere, oceans, and terrestrial ecosystems
  • Apply computational chemistry methods to analyze the impacts of natural processes and human activities on air and water quality, climate change, and geochemical cycles
  • Work with interdisciplinary teams to integrate chemical models into our very large and complex Earth system models
  • Simulate atmospheric chemistry, including greenhouse gases, aerosols, and pollutants, to assess their effects on air quality and climate
  • Model ocean biogeochemical processes, including nutrient cycling, carbon sequestration, and acidification
  • Analyze and interpret model outputs, compare them with observational data, and adjust models for accuracy and performance
  • Stay up to date with advancements in Earth science chemistry modeling and incorporate new techniques and methods into our models
  • Collaborate with geoscientists, climate modelers, and environmental scientists to provide insights for policymaking, environmental management, and resource planning
  • Document research methods, model results, and findings in scientific reports and peer-reviewed publications
  • Present findings at scientific meetings and to stakeholders in government, industry, and academia

Required Qualifications:

  • Ph.D. or equivalent in Atmospheric Chemistry, Environmental Science, Chemistry, or related field, with 2 years of relevant experience or an equivalent combination of education and experience
  • Experience with Earth system models (e.g., CESM, WRF-Chem, GEOS-Chem, or MOZART) and familiarity with their chemical modules
  • Strong programming skills in languages such as Python, Fortran, or C++
  • Familiarity with high-performance computing environments (HPC) and parallel processing (MPI, OpenMP)
  • Proficiency with Linux shell scripting, and collaborative version control software such as Git
  • Experience with data analysis and visualization tools (e.g. MATLAB, Python libraries)
  • Ability to work with large datasets, including satellite and in-situ observations, to validate and improve model performance
  • Ability to work independently and within interdisciplinary teams
  • Strong written and oral communication skills
  • This position requires US Permanent Residency or US Citizenship

 Desired Qualifications

  • Experience with data assimilation techniques, integrating observational data into chemical models
  • Familiarity with machine learning or artificial intelligence applications in Earth science modeling
  • Experience with cloud computing platforms (AWS, Google Cloud) for large-scale simulations 
  • Knowledge of regulatory and policy frameworks related to climate change, air quality, and environmental protection

EOE, including disability/vets

Physical Requirements:  While performing the duties of this job, the employee is regularly required to stand, walk, and use hands to touch, handle or feel objects, tools or controls. The employee frequently is required to talk and hear and occasionally required to reach with hands and arms and stoop, kneel, crouch, or crawl. Must regularly lift and/or move up to 10 pounds, and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, peripheral vision, depth perception and the ability to adjust focus.

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Tags: AWS Chemistry Data analysis Fortran GCP Git Google Cloud HPC Linux Machine Learning Matlab OpenMP Python Research Shell scripting

Region: North America
Country: United States

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