As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Scientific Applications Developer to join our growing team, and support a long term contract with NOAA.

Duties of the Scientific Applications Developer will include the following:

• Model Optimization: Design and execute rigorous statistical validation methodologies to calibrate and validate operational warning applications, tools, and/or models.
• Collaboration: Work in close collaboration with the NHC Science and Mission Integration Division (SMID) staff and external research collaborators.
• Software Design: Design and evaluate software systems and processes specifically tailored to meet rigorous operational requirements.
• Research to Operations: Help with Research-to-Operations (R2O) pipelines for designated downstream model applications.
• Data Visualization: Leverage web development and data visualization tools like Python, GIS, and JavaScript to represent complex meteorological datasets.
• Technical Adaptability: Swiftly adapt to rapidly evolving software environments, analytical workflows, and modeling technologies.

The Scientific Applications Developer selected should have the following:

• Independent Problem-Solving: Candidates must be able to work independently, take initiative, and troubleshoot complex software systems or analytical workflows with minimal supervision.
• Computer Languages: Proficiency in scientific programming, particularly Python and Unix Shell scripting languages.
• Statistics Analysis: Proficiency in statistical analysis and methods.
• Development Methodologies: Strong knowledge of the software development life cycle, such as Continuous Integration/Continuous Delivery (CI/CD) pipelines.
• Analytical Skills: Robust problem-solving and analytical skills with a proven ability to troubleshoot complex, high-consequence software systems.
• Data Management: Experience with the reading, management, and display of large gridded datasets and other types of meteorological data, including surface observations.

The Ideal Scientific Applications Developer will have the following:

• Computer Languages: Knowledge of additional computer languages including javascript, FORTRAN 
• Data Formats: Knowledge of common meteorological data formats including Grib(1,2), Zarr, NetCDF, BUFR, GIS formats (geojson, shapefiles, KML) 
• Version Control: Hands-on experience with collaborative software development and source code management using Git and GitHub.
• Coding Best Practices: Knowledge of AI coding workflows [e.g. copilot], including the responsible use of agentic AI for scientific applications.
• Cloud Computing: Experience optimizing code/applications for cloud computing
• Tropical Meteorology: Knowledge of tropical meteorology and hazards, especially tropical cyclones

Candidates must be U.S. Citizens or Green Card Holders to qualify (please indicate in your cover letter)