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Air Quality Modeling Scientist


PSE Healthy Energy


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United States    

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Until Filled

PSE Healthy Energy is seeking a full-time air quality modeling scientist to assist and collaborate with PSE scientists and senior scientists in evaluations of how energy choices impact outdoor and indoor air quality and public health. Energy systems of interest include but are not limited to oil and gas and petrochemical sectors, electricity transmission and distribution, gas- and coal-fired power generation, carbon management, and the integration of multiple cleaner energy technologies in energy transitions. Strong candidates will have demonstrated experience in using prognostic meteorological models, chemical-transport models, and conducting research at the science-policy interface, and topical knowledge on emissions, air quality, and the health and climate dimensions of energy production and use.

The position requires creativity, initiative, independent work, and collaboration while thinking strategically about complex scientific research and issues related to energy and energy policy, renewable energy, public health, and the environment. It is not expected that a single candidate will have expertise across all these areas- we’re seeking candidates who are particularly strong in a few areas and have some interest and capabilities in others.


Air Quality Modeling: Develop and apply air quality and meteorology modeling tools across a wide range of topics and applications and validate and interpret model results

Data Analysis: Manage large atmospheric datasets, including data extraction, organization, cleaning, analysis, and interpretation

Other Skills: Assist in conducting peer-reviewed research, consulting projects and developing rigorous science to inform policy and other decision-making processes

Special Requirements
REQUIRED SKILLS In addition to an ability to meet the above responsibilities, the ideal candidate will possess: • A masters with 3+ years of demonstrated work experience or doctoral degree in atmospheric science or chemistry, engineering, physical or environmental science, environmental health, computer science, data science, or related field(s) • Understanding of atmospheric processes related to air pollution Experience using meteorological and chemical-transport models (e.g., WRF, WRF-Chem, WRF-CMAQ) • Experience using emissions processors (e.g., SMOKE) and developing inventories • Advanced proficiency in scientific programming languages (e.g., R, python) • Experience working in a Linux/Unix computing environment and shell scripting • Experience compiling and working with, cleaning, managing, and interpreting large atmospheric datasets and conducting statistical analysis • Excellent writing and communication skills • Ability to pivot from strong analytical and data-driven thinking to highly creative and strategic thinking • Capable of engaging on multiple projects and prioritizing effectively • Able to productively provide and receive feedback • A proven record of being able to work collaboratively and independently Scientific and moral integrity • Attention to detail and a desire to learn • A sense of humor DESIRED SKILLS • Experience working at the science-policy interface and/or community-based research • Experience conducting health risk or impact assessments • Experience with cloud computing platforms (e.g., Amazon Web Services) • Experience using reduced-form models (e.g., COBRA, InMAP) • Knowledge of petroleum refineries, biofuels, and petrochemical facilities • Knowledge of the health hazards, risks, and impacts of air pollution • Demonstrated experience running and interpreting dispersion models (e.g., gaussian plume models, AERMOD) • Demonstrated experience evaluating the air quality impacts of point sources • Experience with software best practices and version control (e.g., Github) • Experience developing web-based data visualizations • Experience with geographic or mapping software (e.g., ArcGIS) • Experience with Google Workspace (Gmail, Google Docs, etc.) • Familiarity with Slack

Apply online or via email