Overview
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. 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.
Responsibilities
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.
Qualifications
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 co