Physical Scientist – EVU Regional Verification

Lynker

. Investigate and apply object-oriented verification methods such as METplus MODE to evaluate high-resolution model performance .

Posted 10/5/2026full-timeRemote • Maryland • United StatesSeniorLead💰 $75,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in object-oriented verification methods and high-resolution numerical weather prediction model evaluation, with strong capabilities in Python programming and meteorological data analysis. Proficient in developing customized verification workflows and communicating technical results effectively across teams.

Highest-signal resume keywords

Object-Oriented Verification TechniquesHigh-Resolution Numerical Weather Prediction (NWP) EvaluationPython Programming in High-Performance Computing (HPC)METplus Verification SoftwareMeteorological Data Formats (GRIB2, NetCDF, HDF, BUFR)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Object-Oriented Verification MethodsHigh-Resolution Model EvaluationVerification Metrics CalculationCustom Visual Plots GenerationPython ProgrammingGitHub Repository ManagementMeteorological Data AnalysisCustomized Verification Workflows DevelopmentAI/ML Model EvaluationQPF Verification

Soft Skills

Effective CommunicationCreative Problem-SolvingIndependent WorkCollaborative TeamworkFlexibility

Tools & Technologies

METplusHPC UNIX EnvironmentHTMLJavaScriptFortranGrADSGEMPAKMATLAB

Industry Keywords

Numerical Model AnalysisNOAA/NWS IT PoliciesNational Weather ServiceOperational ForecastingInteragency Collaboration

Tech Stack

Tools & technologies

JavaScriptPythonUnix

About the role

Key responsibilities & impact

Investigate and apply object-oriented verification methods such as METplus MODE to evaluate high-resolution model performance
Improve spatial skill assessment
Work with developers on RRFS, REFS, and WoFS to create customized, automated verification workflows for model development
Act as a technical liaison between WPC and EVU/OMD on NBM and NDFD verification topics, focusing on QPF
Develop advanced metrics and methods for high-resolution AI/ML model verification and evaluation, including HRRRCast
Support and contribute verification metrics, code enhancements, and graphics capabilities to the community-based METplus framework
Support the Model Evaluation Group (MEG)
Interact with NWS/NCEP domain scientists
Adhere to NOAA/NWS IT policies
Present findings regularly at technical and status meetings

Requirements

What you’ll need

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
Experience evaluating high-resolution numerical weather prediction (NWP) models
Extensive experience with Python in a high-performance computing (HPC) UNIX environment
Experience calculating verification metrics and generating custom visual plots
Proficiency using GitHub to manage software repositories, code versions, and collaborative projects
Experience with meteorological data formats including GRIB2, NetCDF, HDF, and BUFR
Experience with model verification software systems, specifically METplus
Ability to communicate technical results effectively across interagency teams, developers, and operational forecasters
Knowledge of web page technology and languages such as HTML and JavaScript
Ability to analyze, plot, and verify model output independently
Ability to work independently and collaboratively on complex problems
Experience developing customized verification workflows or evaluation tools for convective-scale/rapid-refresh models and ensembles is ideal
Familiarity with evaluating AI/ML weather models or developing metrics for machine learning forecast systems is ideal
Experience in QPF verification and operational datasets/systems such as NBM or NDFD is ideal
Knowledge of Fortran, HTML, JavaScript, GrADS, GEMPAK, or MATLAB is ideal
Familiarity with National Weather Service operational centers, OMD workflows, or operational forecasting environments is ideal
Knowledge of statistical principles and strong analytical skills
Ability to accept assigned tasking and engage as a creative self-starter
Ability to remain flexible as projects and tasks evolve

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)
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
Personalized career growth plans for every employee
Employee-owned business
Flexible work arrangement indicated as remote