Physical Scientist – Seasonal Forecast System Developer

Lynker

. Support NOAA/NWS Office of Modeling and Development research and development work for marine and seasonal forecast improvements .

Posted 10/23/2026full-timeCollege Park • Maryland • United StatesJunior💰 $75,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and evaluating global coupled Numerical Weather Prediction models and AI/ML techniques for seasonal and marine forecasting. Proficient in ensemble-based forecasting systems and skilled in modern programming languages and software development practices.

Highest-signal resume keywords

Global Coupled Ensemble Forecast System DevelopmentAI/ML Techniques for NWPFORTRAN and Python ProgrammingHigh Performance Computing (HPC) EnvironmentsS2S Prediction Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Numerical Weather Prediction (NWP)Ensemble-Based ForecastingMarine Ocean and Sea Ice Forecast SystemsProbabilistic Forecasting SystemsStatistical Post-ProcessingRetrospective Ensemble ExperimentsModel Uncertainty AnalysisMulti-Model EnsemblesScripting CapabilitiesAgile Software Development Practices

Soft Skills

Communication of Technical DetailsIndependent Problem SolvingTeam CollaborationAttention to DetailOrganizational Skills

Tools & Technologies

UFS InfrastructureGitGitHub

Industry Keywords

Atmospheric SciencesMeteorologyOceanic SciencesPhysical ScienceOperational Forecasting

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Support NOAA/NWS Office of Modeling and Development research and development work for marine and seasonal forecast improvements
Work on the physical model Seasonal Forecast System (SFS), focusing on marine components
Develop OMD AI/ML prediction models for global coupled seasonal and marine forecasting
Develop and evaluate current and future operational seasonal and marine forecasting systems with OMD scientists and external collaborators
Use UFS infrastructure to design and evaluate global coupled ensemble forecasting systems for long-range forecasting
Develop global coupled Numerical Weather Prediction (NWP) models
Develop marine ocean and sea ice forecast systems
Develop subseasonal-to-seasonal probabilistic forecasting systems
Develop AI/ML techniques for seasonal and marine forecasting systems
Design and conduct retrospective ensemble experiments and re-forecasts
Explore initial or analysis uncertainties and/or model uncertainties and stochastic perturbations
Analyze and evaluate S2S probabilistic forecasts
Apply multi-model ensembles and statistical post-processing

Requirements

What you’ll need

A Master or PhD’s Degree or equivalence in atmospheric sciences or meteorology, oceanic, mathematics, or related physical science
1-2 years of experience in global coupled ensemble forecast system development, sub-seasonal to seasonal prediction, numerical prediction, and/or AI/ML foundational prediction models
Must be a U.S. Citizen or Permanent Resident Card Holder
Advanced knowledge of S2S prediction
Experience developing ensemble-based and coupled SFS for research and operational implementation
Development of AI/ML methods for NWP and/or geophysical applications
Excellent knowledge of modern programming and object-oriented languages, such as FORTRAN and Python
Skills and knowledge of High Performance Computing (HPC) environments with strong scripting capabilities
Proficiency with modern software development practices and version control software, e.g. Git and GitHub
Ability to communicate technical details and present results accurately and clearly in oral and written form
Ability to work independently on complex problems in a team and fast-paced environment
Organization and attention to detail
Ability to support team initiatives, demonstrate respect for team members, and seek team consensus
Deep knowledge of ensemble strategy, reanalysis/reforecasting, and IC uncertainty
Familiarity with operational NWP and/or operational forecasting environments and advanced technical workflows
Experience with UFS applications and UFS infrastructure and knowledge of earth system modeling
Familiarity with agile software development practices

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
Hybrid work schedule with 3 days per week from home