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Scientific Applications Developer
LynkerScientific Applications Developer optimizing weather forecasting models at Lynker. Collaborating with research teams and enhancing operational tools using advanced programming techniques.
Posted 6/3/2026full-timeRemote • Florida • 🇺🇸 United StatesMid-LevelSenior💰 $78,000 - $105,000 per yearWebsite
Tech Stack
Tools & technologiesCloudJavaScriptPythonSDLCShell ScriptingUnix
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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
Benefits
Comp & perks- Comprehensive healthcare for the employee at no monthly cost
- Healthcare benefit covers medical, prescription drug, dental, and vision
- Personal Time Off (PTO) Policy plus paid holidays
- Highly competitive compensation plan regularly calibrated against industry and location benchmarks
- 401(k) retirement plan with company-matching
- Employee Stock Ownership Plan (ESOP) – we’re all company owners!
- Flexible spending accounts
- Employee assistance program (EAP)
- Short- and long-term disability insurance
- Life and accident insurance
- Tuition assistance/Training/Workforce improvement reimbursement per year
- Spot bonuses for exceptional performance
- Annual Employee Recognition Awards with bonuses
- Employee Referral Program
- Free centralized, self-directed Learning Management System to learn at your own pace
- Personalized career growth plans for every employee
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonUnix Shell scriptingstatistical analysisContinuous IntegrationContinuous Deliverydata visualizationFORTRANGitGitHubcloud computing
Soft Skills
independent problem-solvinginitiativetroubleshootinganalytical skillscollaborationtechnical adaptability