Research Scientist (Atmospheric Science)

Karen Clark & Company • Boston, MA • 2h ago

Karen Clark & Company seeks a highly motivated physical scientist with experience in the field of atmospheric science to join our growing Model Development Team in our Downtown Boston office. In this position, you will work closely with other scientists and engineers to develop our suite of advanced, atmospheric-peril catastrophe models with an emphasis on severe convective storm hazard models.

Expected Salary Range: $90,000-$100,000

About KCC

Karen Clark & Company (KCC) is the innovation and technology leader in weather, climate, and catastrophe risk modeling. KCC professionals are globally recognized experts in catastrophe modeling and risk management. From our headquarters in Boston, Massachusetts, we provide advanced models, innovative software, and comprehensive consulting services to enhance risk management strategies and climate resiliency. KCC modeling technology currently covers tropical cyclones, extratropical cyclones, severe convective storms, floods, earthquakes, winter storms, and wildfires in over 80 countries. For information please visit www.kcc.us.com (http://www.kcc.us.com)

Responsibilities

Collaborate with scientists and engineers to develop the technical aspects of atmospheric peril hazard and impacts models by applying state-of-the-art data processing and machine learning techniques

Collect and analyze large data sets of atmospheric data (e.g., numerical weather prediction, radar, satellite, etc.)

Compile related literature and datasets required for model development

Conduct model sensitivity and validation tests

Provide documentation for technical publications

Conduct post disaster field surveys after major events

Qualifications

PhD in geophysical science (atmospheric science preferred), physics, applied mathematics, or related field

Knowledge and experience in atmospheric processes related to synoptic scale, mesoscale, and convective scale weather systems

Knowledge and experience working with remote sensing data

Knowledge and experience in advanced probability and statistical methods as well as machine learning

Programming experience in a widely used language like Python

Ability to work independently and in a team environment

Excellent oral and written communication skills including an eye for professional presentation

Ability to travel within the US or internationally with little advance notice

Experience with GIS software (e.g., QGIS, ArcGIS, etc.) is a plus

Knowledge of C# programming language a plus

Experience in catastrophe modeling a plus

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