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Scientist Operational Wave Modeling Development

Remote / Online - Candidates ideally in
College Park, Prince George's County, Maryland, 20741, USA
Listing for: Lynker
Full Time, Part Time, Remote/Work from Home position
Listed on 2026-10-02
Job specializations:
  • Science
    Research Scientist, Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Overview

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.
Qualifications

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 FORTRAN
    90, Python, and C++.
  • Experience working in a UNIX environment with advanced shell scripting languages and familiar with running complex jobs.
  • Demonstrated proficiency using Git Hub to manage software repositories, code versions, and projects.
  • Ability…
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