[ES_JOBS_NET] Air Quality Modeler - Nonprofit Research Institute (Oakland, CA/Remote)

[Jaclyn Casale]

To Apply:
https://pse-healthy-energy.breezy.hr/p/f9280dc9ca10-air-quality-modeling


ORGANIZATION
PSE Healthy Energy is a non-profit energy science and policy research
institute dedicated to a healthy, resilient, and equitable energy future.


Our team of public health professionals, scientists, and engineers
integrate technical expertise across multiple fields to inform
science-based energy policy. Our mission is to generate science-based
energy and climate solutions that protect public health and the environment.


*POSITION*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 upstream, midstream and downstream 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 air modeling and data
analysis including the capability to extract, organize, clean, analyze and
interpret datasets from multiple sources and synthesize existing studies on
the environmental, 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 that are particularly strong in a few areas and have some
interest and capabilities in others.

ROLES and RESPONSIBILITIES

   - *Air Quality Modeling: *Develop and apply air quality modeling methods
   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 Research: *Background research and writing for technical
   reports and manuscripts


*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 chemical-transport models (e.g., GEOS-Chem, CMAQ)
   - Advanced proficiency in scientific programming languages (e.g., R,
   python)
   - Experience working in a Linux/Unix computing environment
   - Experience compiling and working with, cleaning, managing and
   interpreting large atmospheric datasets and conducting statistical analysis
   - Excellent writing and communications 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

   - 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 indoor air quality models (e.g., CONTAM) or
   reduced-form models (e.g., COBRA, InMAP)
   - Experience using or developing emissions inventories (e.g., SMOKE)
   - Experience with software best practices and version control (e.g.,
   Github)
   - Experience with cloud computing platforms (e.g., Amazon Web Services)
   - Experience developing web-based data visualizations
   - Experience with geographic or mapping software (e.g., ArcGIS)
   - Experience working at the science-policy interface
   - Experience with Google Workspace (Gmail, Google Docs, etc.)
   - Familiarity with Slack


*LOCATION*PSE is headquartered in Oakland, CA, but this is currently a
remote or hybrid position.



*SALARY*The anticipated salary range is $65,000-$95,000+, though the
successful candidate could be hired above or below this range depending on
qualifications and geographic location. Benefits are competitive and
include health benefits (medical, dental, vision, disability, life
insurance), flexible spending and/or child/dependent care spending account,
401(k) retirement plan with employer match, 15 days of vacation to start,
paid leave and 11+ paid holidays.


*TO APPLY*Please submit a resume or CV and provide a cover letter -OR-
provide responses to question prompts in the online application
<https://pse-healthy-energy.breezy.hr/p/f9280dc9ca10-air-quality-modeling>
by April 21st, 2023. Applications received by March 31st, 2023 will be
given priority review.


*EQUAL OPPORTUNITY EMPLOYER*PSE Healthy Energy is an equal opportunity
employer. We celebrate diversity and are committed to creating an inclusive
environment for all employees. We do not discriminate in hiring or
employment on the basis of race, color, religion, national origin, gender
identity and expression, marital status, sexual orientation, age,
disability, veteran status, or any other status protected under federal,
state, or local law.


*E-VERIFY NOTICE*PSE Healthy Energy participates in E-Verify. We will
provide the Social Security Administration, and if necessary, the
Department of Homeland Security, with information from each new employee’s
Form I-9 to confirm work authorization. Please note that we do not use this
information to pre-screen job applicants.



<https://www.psehealthyenergy.org/>
<https://twitter.com/PhySciEng>  <https://www.facebook.com/PSEHealthyEnergy>
   <https://www.linkedin.com/company/psehealthyenergy/>
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