Support Scientist for Operational Wave Modeling Development

Lynker is seeking a sharp Support Scientist for Operational Wave Modeling Development to accelerate and enhance operational marine modeling capabilities within the National Weather Service (NWS) Regional Wave Prediction System (RWPS)-the next-generation framework built to align with NWS transformation goals. With roughly 40% of the U.S. population residing in coastal counties and rip currents remaining a leading cause of weather-related fatalities, this role advances foundational guidance for Impact-Based Decision Support Services (IDSS) to protect life and property. Working alongside a team, the specialist will support the development, testing, and implementation of physics-based and machine learning wave frameworks, integrate coastal processes, and assist in transitioning cutting-edge capabilities into high-reliability NWS operations. The Ideal Support Scientist for Operational Wave Modeling Development, will be local to the DC Metro area, and be able to work a hybrid schedule, working 2 days per week in office out of the College Park, MD location, and working from home the remaining 3 days of the week.

Responsibilities

The candidate will perform the job duties in an independent, collaborative, and initiative-driven way, assisting in developing and applying innovative methods for the primary work areas described below.

Duties of the Support Scientist for Operational Wave Modeling Development will include the following:

• Operational Modeling & System Integration: Work with the team to support the development, optimization, maintenance, and integration of wave modeling capabilities within the RWPS architecture, ensuring alignment with NWS operational standards.
• Coastal Processes & Hazard Prediction: Contribute to advancing numerical and statistical formulations for key coastal phenomena, including wave runup, coastal impact prediction, total water level, and rip current forecasting.
• AI & Next-Gen Techniques: Collaborate on exploring, evaluating, and integrating artificial intelligence/machine learning (AI/ML) techniques to improve wave modeling efficiency, parameterizations, or forecast accuracy.
• Interagency & Sector Collaboration: Partner across multidisciplinary federal and private sectors (e.g., USGS, NOS, academic institutions, and private industry) to evaluate external models and accelerate the transition of research to operations (R2O).
• Model Experimentation & Validation: Assist in designing and executing numerical model experiments, applying advanced verification, validation, and observational data-fusion techniques across regional and nearshore domains.
• System Support & Web Services: Help maintain, visualize, and disseminate marine modeling output and related web-based products for internal operational and public use.

The Support Scientist for Operational Wave Modeling Development selected should have the following:

• An M.S. (or equivalent experience) in meteorology, physical oceanography, coastal engineering or a related field, with 7+ years in weather forecasting, physical oceanography, or coastal ocean science.
• Knowledge of spectral wave models (like WAVEWATCH III), in particular for real-time applications.
• Experience in running numerical models on High Performing Computer (HPC) platforms using MPI, OpenMP, Slurm, LSF, etc.
• Is familiar with modern software development practices, particularly version control software.
• Advanced skills and knowledge of modern programming languages and object-oriented languages, such as FORTRAN90, Python, and C++.
• Experience working in a UNIX environment with advanced shell scripting languages and familiar with running complex jobs.
• Demonstrated proficiency using GitHub to manage software repositories, code versions, and projects.
• Ability to maintain, visualize, and disseminate marine modeling output and web-based products.

The Ideal Support Scientist for Operational Wave Modeling Development will have the following:

• Demonstrated experience in operational system integration, and software development for real-time applications within regional and nearshore domains.
• Direct experience advancing formulations for coastal processes, including wave runup, total water level, coastal impact prediction, and rip current forecasting.
• Familiarity with applying artificial intelligence and machine learning (AI/ML) techniques to enhance wave parameterizations, model efficiency, or forecast accuracy.
• Strong team-player mindset with a proven ability to collaborate across interagency and private sectors.

$75,000.00

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