Job description
Join Aurora Weather Institute, a premier leader in weather prediction, climate analytics, and decision-support systems. We are seeking a Senior Meteorologist who combines deep atmospheric science expertise with practical data-driven forecasting.
Based in Seattle, WA, this full-time role offers a collaborative environment, access to high-performance computing, and a chance to influence weather-critical decisions for aviation, energy, emergency management, and research partners.
As a Senior Meteorologist, you will contribute to advanced forecast models, communicate actionable insights to stakeholders, and lead cross-disciplinary projects that translate complex atmospheric science into real-world impact.
We offer competitive compensation, strong benefits, professional growth opportunities, and a vibrant, research-forward culture committed to excellence in weather, climate, and risk analysis.
Responsibility
- Lead development, evaluation, and dissemination of regional and synoptic-scale forecast products.
- Design and implement high-resolution modeling experiments and verify them against observations.
- Translate complex meteorological findings into clear, actionable guidance for aviation, energy, and public safety audiences.
- Collaborate with data scientists to operationalize machine learning techniques for nowcasting and trend analysis.
- Prepare technical reports, presentations, and peer-reviewed publications; mentor junior meteorologists and analysts.
- Present forecasts and uncertainty assessments to executive leadership and external partners.
- Maintain and improve quality control processes for data feeds, model outputs, and visualization dashboards.
Qualification
- PhD or MS in Meteorology, Atmospheric Science, or a closely related field.
- 5+ years of hands-on experience in weather forecasting, atmospheric modeling, or climate analytics.
- Proficiency in Python and/or R for data analysis; experience with MATLAB or Julia is a plus.
- Strong background in numerical weather prediction, data assimilation, and model evaluation.
- Experience with high-performance computing environments and large-scale data processing.
- Excellent written and oral communication skills; ability to explain complex science to non-technical stakeholders.
- Demonstrated ability to lead projects, manage priorities, and collaborate across multidisciplinary teams.
- Eligibility to work in the United States; willingness to travel occasionally for collaborations and conferences.