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
We are seeking one or more full-time Air Quality Data Scientists to join our passionate team of scientists, engineers, and data analysts at PSE Healthy Energy (PSE). We study cutting-edge solutions-oriented climate and energy problems in the hope to protect public health and the environment. Our research doesn’t end at publication—we embrace the scientist as a spokesperson role and level with the public through press releases/briefings and active engagement with diverse stakeholders and policymakers. We host a suite of in-house, research-grade trace gas analysis capabilities that have been deployed all over the world to better understand the climate and health pollutant emissions from gas-fired residential appliances, commercial kitchens, direct air capture facilities, and more.
The ideal candidate should be self-motivated, willing to adapt to the inevitable unforeseen challenges of primary scientific research, never afraid to bring new ideas to the table, and excited to work in a high impact setting where there is always more to learn. The Data Scientist will be responsible for analysis and data management across a range of projects and will require collaborating with multiple team members and responding quickly to changing research needs and priorities. The position requires the ability to work with scientific data to identify patterns and trends, establish processes to ensure data quality, and provide custom outputs for use in peer reviewed scientific publications. The ideal candidate will also have a strong background in one or more of the following areas: methane, air quality (indoor and/or outdoor), and environmental monitoring/modeling with a keen interest in the policy interface.
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
Data Management:
• Manage large datasets including data extraction, organization, quality control/quality assurance (QA/QC) and compliance with data privacy policies.
• Help develop and maintain data and code management systems that can be applied across projects
Data Analysis:
• Collaborate with the fieldwork team to design studies and collect data used to assess environmental conditions including greenhouse gas emissions, methane sources, health-damaging co-pollutants, and associated health risks both within the United States and internationally.
• Analyze data to answer questions in climate, methane, air quality, and health topics, focusing on their interconnections and implications for environmental policies.
• Utilize advanced scientific methods and technologies to analyze data, model scenarios, and evaluate the effectiveness of different policy interventions.
• Awareness of personal data/information privacy protection, local and international data protection law/policy. Collect, handle, process, store data and information in a lawful, respectful manner.
Scientific communication:
• Contribute to the communication of research findings through comprehensive reports, presentations and scientific publications that target both scientific and policy-oriented audiences as well as impacted communities.
• Provide scientific expertise and support in the development and implementation of environmental policies, regulations, and standards related to climate, methane, air quality, and health.
Scientific collaboration:
• Collaborate with national and international NGOs, governmental agencies, community partners, and other stakeholders to foster partnerships, exchange knowledge, and contribute to multi-scale efforts to address environmental challenges.
• Provide scientific and statistical / analysis mentorship for team members.