[Remote] Research Scientist - Meteorological Modeling & Analysis

Note: The job is a remote job and is open to candidates in USA. Leidos is a leading technology company serving government and commercial customers, and they are seeking a Research Scientist to support the Defense Threat Reduction Agency's Environmental Data Enterprise. The role involves enhancing numerical weather prediction and atmospheric transport modeling capabilities using advanced AI and machine learning techniques to improve environmental data evaluation and application for national security.

Responsibilities

• Design, develop, and implement novel AI/ML methods for creating, assessing, and modifying vast amounts of meteorological data
• Conduct research on improving meteorological model inputs (e.g., planetary boundary layer, vertical mixing, ensemble forecasting) for ATD models using AI techniques to increase accuracy and efficiency
• Participate in research on best practices to implement and integrate verification and validation methods for NWP models for application within the ATD environment
• Explore and design new processes to assist in the intelligent selection of meteorological data based on defined Chemical, Biological, Radiological, Nuclear, and high Explosive (CBRNE) scenarios
• Support the ingestion, quality checking, parsing, and storage of on-demand environmental data, including ocean, surface, and upper-air observations
• Extend, improve, and develop software that bridges the gap between research and operations, and assist in the integration of software into DoW tools
• Provide subject matter expertise and technical assistance on the EDE system, including monitoring system status and recommending software or hardware enhancements to streamline operations

Skills

• Master's degree and 6 years experience or a Ph.D. and 3 years experience in Atmospheric Science, Meteorology, Data Science, Computer Science, or a related physical sciences or engineering field
• Ability to obtain and maintain a DoW security clearance. Must be a U.S. Citizen
• Proven experience in developing and applying Artificial Intelligence and Machine Learning (AI/ML) models to complex scientific problems
• Strong background in numerical weather prediction (NWP), atmospheric modeling, or a related geophysical field
• Proficiency in programming languages such as Python, R, or Java, with experience using scientific computing libraries (e.g., NumPy, SciPy, Pandas) and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Experience handling and processing large scientific data formats like NetCDF, HDF5, and GRIB
• Familiarity with data assimilation techniques and ensemble forecasting methods
• Strong analytical and problem-solving skills, with a demonstrated ability to conduct independent research and develop innovative solutions
• Experience with atmospheric transport and dispersion (ATD) models (e.g., HPAC, SCIPUFF)
• Familiarity with DoD cybersecurity practices and information assurance standards
• Experience working in a Linux/Unix environment
• Knowledge of space weather and its impact on terrestrial systems
• Experience with deploying and maintaining operational scientific models or software

Benefits

• Competitive compensation
• Health and Wellness programs
• Income Protection
• Paid Leave
• Retirement

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