Karen Clark & Company
Research Scientist (Atmospheric Science)
Karen Clark & Company, Boston, Massachusetts, us, 02298
Overview
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.
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 more information, please visit www.kcc.us.com
Responsibilities
Collaborate with scientists and engineers to develop the technical aspects of atmospheric models, including the hazard and impacts from events, 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
Some work experience (≤ 5 years) a plus
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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 more information, please visit www.kcc.us.com
Responsibilities
Collaborate with scientists and engineers to develop the technical aspects of atmospheric models, including the hazard and impacts from events, 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
Some work experience (≤ 5 years) a plus
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