Senior Atmospheric Modeler

Bay Area Air DistrictSan Francisco, CA
Onsite

About The Position

Join an agency committed to creating a healthy breathing environment for every Bay Area resident while protecting and improving public health, air quality, and the global climate! The Air District is currently accepting applications for the position of Senior Atmospheric Modeler in the Assessment, Inventory, and Modeling Division. This is an open recruitment for one (1) vacancy which is full-time, represented position. Ready to lead and conduct high-impact technical projects that shape the future of clean air in the Bay Area? The Bay Area Air District is seeking a Senior Atmospheric Modeler to support complex modeling-related analyses in the Assessment, Inventory, and Modeling (AIM) Division. In this role, you’ll use air quality modeling results to assess pollution levels, human exposures, and health impacts—especially in communities most affected by air pollution. This position will have a special focus on making air quality and exposure modeling results more useful and interpretable by AIM stakeholders.

Requirements

  • Equivalent to a graduate degree in the physical sciences, atmospheric science or a closely related field and three years of experience in modeling and scientific research involving air quality or atmospheric sciences.
  • Principles and practices of environmental engineering and regulation.
  • Applicable District rules and regulations and state and federal laws.
  • Methods and techniques of research, statistical analysis, and report presentation.
  • Principles of air quality management and its technology.
  • Operations and functions of air quality agencies.
  • Principles and practices of effective technical writing.
  • Analyzing and interpreting outputs of complex air quality models such as WRF-Chem and CMAQ.
  • Using air quality modeling results and population data to assess human exposures to air pollution.
  • Applying models such as BenMAP to quantify health impacts associated with exposure to specified levels of air pollution.
  • Applying complex technical information to real-world problems, evaluating alternative solutions and recommending effective courses of action.
  • Representing the District effectively in contracts with governmental and regulatory agencies, industry and the public.
  • Establishing and maintaining effective working relationships with those contacted in the course of the work.
  • Exercising sound independent judgement within general policy guidelines.
  • Preparing clear and concise reports, correspondence, and other written materials.
  • Making persuasive presentations of ideas and recommendations.

Responsibilities

  • Provides lead direction, develops work assignments and reviews the work of professional and technical staff; prioritizes and follows up on work to ensure timely completion.
  • Provides input into selection decisions; evaluates performance and provides for professional development and training.
  • Selects, acquires, optimizes, maintains and applies large and complex photochemical and meteorological models; obtains and maintains state-of-the-art knowledge of the hardware, software, their uses and applications and modeling technologies.
  • Develops methodologies to simulate, analyze and rank air quality control strategies.
  • Organizes and directs the work of other staff on a project basis.
  • Establishes and maintains professional contacts and working relationships with modeling specialists outside the District.
  • Designs and implements interconnected modeling systems into powerful application systems; designs and implements computer tools necessary for the evaluation and analysis of these models.
  • Applies these complex meteorological and photochemical models for the District's air quality planning process.
  • Develops appropriate simulation techniques and methods to evaluate and interpret the simulation results; conducts simulations, analyzes simulation results, interprets the application of modeling results and prepares reports.
  • Designs field studies for the purpose of collecting data for modeling.

Benefits

  • pay equity
  • work-life balance
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