Scientific Applications Developer

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., * 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)

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Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts., Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement. We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively. Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following: * Personalized career growth plans for every employee