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Atmospheric Modeling Scientist Jobs (NOW HIRING)

Barbaricum

Pre-Award: MXM- Scientist III

Crane, IN

... atmospheric modeling, swarming algorithms, and data/signal processing, and will bring machine ... This role is the scientific engine behind Code MXM's modeling, simulation, and operations research ...

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As of Sep 15, 2026, the average yearly pay for atmospheric modeling scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Atmospheric Modeling Scientist job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

MPAS-JEDI Systems and Convective-Scale Modeling Specialist - Scientist IV

Norman, OK • On-site

Jobtailor
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Other

Posted 9 days ago

Job description


  • Develop, install, maintain, and support MPAS-JEDI and related atmospheric modeling and data assimilation systems across HPC, cloud, and operational computing platforms

  • Develop and maintain scientific software, workflows, and automation tools using Python, Bash, Git, Fortran, and related technologies

  • Implement and support real-time and retrospective modeling workflows using EC-Flow, Rocoto, or similar workflow management systems

  • Support ensemble-based data assimilation, numerical weather prediction, software integration, testing, version control, and operational transition activities

  • Manage, organize, and validate large modeling and observational datasets for WoFS, WoFSCast, MPAS-JEDI, and ML/AI applications

  • Conduct model verification, diagnostics, quality control, and forecast evaluation using METplus and related frameworks

  • Design, execute, and analyze convective- and meso-scale numerical experiments for storm-scale forecasting and data assimilation

  • Collaborate with scientists, students, software engineers, and operational partners to resolve technical issues and advance forecasting capabilities

  • Prepare technical documentation, reports, presentations, and scientific publications supporting project and research objectives


Requirements

  • MA/MS in meteorology, atmospheric science, computer science, engineering, applied mathematics, or a related field required

  • 8+ years of relevant professional or academic experience

  • PhD preferred

  • Experience with convective- and/or meso-scale numerical weather prediction and ensemble-based data assimilation systems

  • Proficiency in Python, Bash, Git, and scientific software development in HPC environments

  • Familiarity with MPAS-JEDI, JEDI, WoFS, WoFSCast, MPAS, WRF, or similar modeling and data assimilation frameworks

  • Experience with operational workflow management systems such as EC-Flow or Rocoto and large atmospheric modeling and observational datasets

  • Knowledge of storm-scale forecasting, forecast verification methodologies, model diagnostics, and quality control procedures, including tools such as METplus

  • Ability to collaborate effectively within multidisciplinary teams and communicate technical and scientific results through presentations, reports, and peer-reviewed publications

  • Must complete an online IT security awareness course within one week of starting work

  • Foreign national candidates are subject to export control review and require CO/COR approval prior to consideration

  • Ability to work Monday through Friday, 8 AM CST to 5 PM CST

  • Ability to work irregular hours during active severe weather events when required for field data collection

  • Ability to travel locally and non-locally, not anticipated to exceed 5% annually

  • Must obtain written COR approval at least 10 calendar days in advance for unplanned travel


Core Competencies

Demonstrates expertise in developing and maintaining atmospheric modeling and data assimilation systems, with proficiency in Python, Bash, and Git. Capable of managing large datasets and conducting model verification and diagnostics to enhance forecasting capabilities.


Highest-signal resume keywords

  • Python Programming

  • Atmospheric Modeling

  • Data Assimilation Systems

  • Workflow Management Systems

  • Model Verification


ATS Optimization Keywords
Hard Skills

  • Python

  • Bash

  • Git

  • Fortran

  • HPC Environments

  • Numerical Weather Prediction

  • Ensemble-Based Data Assimilation

  • Model Diagnostics

  • Quality Control

  • Scientific Software Development


Soft Skills

  • Collaboration

  • Communication

  • Technical Documentation


Certifications & Qualifications

  • MA/MS in Meteorology

  • PhD Preferred

  • IT Security Awareness Course


Industry Keywords

  • Atmospheric Science

  • Storm-Scale Forecasting

  • Forecast Verification Methodologies

  • Operational Computing Platforms

  • Multidisciplinary Teams


Tools & Technologies

  • MPAS-JEDI

  • JEDI

  • WoFS

  • WoFSCast

  • EC-Flow

  • Rocoto

  • METplus

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