Physical Scientist for EVU Regional Verification

Lynker Corporation•College Park, MD
•$75,000 - $120,000

About The Position

Lynker, a Federal Government Contractor, is seeking talented Physical Scientist for EVU Regional Verification to join the Evaluation and Verification Unit (EVU) within the NOAA/NWS Office of Modeling and Development (OMD). Working in a fast-paced, highly collaborative environment, this position will advance object-oriented verification techniques, support customized workflows for regional and convective-scale models, and evaluate next-generation AI-driven forecast systems. The scientist will serve as a key technical liaison for quantitative precipitation forecasting (QPF) verification topics while contributing to the community-based METplus software framework and supporting operational model evaluation efforts.

Requirements

  • An M.S. (or equivalent experience) in atmospheric sciences, meteorology, scientific programming, mathematics, or a related physical science with 7+ years of experience in numerical model analysis, evaluation, or verification.
  • Demonstrated experience using object-oriented verification techniques (such as METplus MODE) and evaluating high-resolution numerical weather prediction (NWP) models.
  • Extensive experience working with Python in a high-performance computing (HPC) UNIX environment to calculate verification metrics and generate custom visual plots.
  • Demonstrated proficiency using GitHub to manage software repositories, code versions, and collaborative projects.
  • Proven experience working with common meteorological data formats (e.g., GRIB2, NetCDF, HDF, BUFR) and model verification software systems (specifically METplus).
  • Strong team-player mindset with demonstrated skill in communicating technical results effectively across interagency teams, developers, and operational forecasters.
  • Some knowledge of using web page technology and common languages (e.g., HTML, Javascript) to display plots of verification data.
  • Ability to analyze/plot and verify model output independently.
  • Ability to work independently and collaboratively on complex problems.

Nice To Haves

  • Experience developing customized verification workflows or evaluation tools for convective-scale/rapid-refresh models and ensembles (e.g., RRFS, REFS, WoFS, or HRRR).
  • Familiarity with evaluating AI/ML weather models (e.g., HRRRCast) or developing new metrics for machine learning forecast systems.
  • Experience in precipitation verification topics (QPF) and working with operational datasets/systems like the National Blend of Models (NBM) or National Digital Forecast Database (NDFD).
  • Knowledge of Fortran, web technologies (HTML, JavaScript) for web page plotting, or legacy display tools (GrADS, GEMPAK, MATLAB).
  • Familiarity with National Weather Service operational centers, OMD workflows, or operational forecasting environments.
  • Ability to work in a fast-paced environment.
  • Demonstrated skill in performing tasks requiring organization and attention to detail.
  • Knowledge of statistical principles and strong analytical skills.
  • A passion for the National Weather Service mission.
  • Ability to accept assigned tasking, but also engage as a creative self-starter.
  • Driven by curiosity and willing to try new techniques and learn new skills.
  • Ability to remain flexible as projects and tasks evolve.

Responsibilities

  • Investigate and apply object-oriented verification methods (e.g., METplus MODE) to evaluate high-resolution model performance and improve spatial skill assessment.
  • Work closely with developers on systems like RRFS, REFS, and WoFS to create customized, automated verification workflows tailored specifically for model development purposes.
  • Act as a key technical liaison between the Weather Prediction Center (WPC) and EVU/OMD on National Blend of Models (NBM) and National Digital Forecast Database (NDFD) verification topics, with a primary focus on quantitative precipitation forecasting (QPF).
  • Develop advanced metrics and methods for high-resolution AI/ML model verification and evaluation (e.g., HRRRCast).
  • Actively support and contribute innovative verification metrics, code enhancements, and graphics capabilities to the community-based METplus verification framework.
  • Support the team's Model Evaluation Group (MEG) efforts, interact with NWS/NCEP domain scientists, adhere to NOAA/NWS IT policies, and regularly present findings at technical and status meetings.

Benefits

  • 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
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