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

Jobtailor; Norman (OK); On-site; USD 130,000 - 200,000; Full time

Job summary

Jobtailor in Norman, Oklahoma is seeking a senior scientist to develop, install, maintain, and support atmospheric modeling and data assimilation systems across HPC, cloud, and operational platforms.

The role includes advancing workflows, science software in Python, Bash, Git, Fortran; real-time and retrospective modeling; data management; verification and forecast evaluation; and collaboration with multidisciplinary teams.

Qualifications

• 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 EC-Flow or Rocoto and large atmospheric datasets
• Knowledge of storm-scale forecasting, forecast verification methodologies, model diagnostics, and METplus
• Ability to collaborate within multidisciplinary teams and communicate results via presentations, reports, and peer-reviewed publications

Responsibilities

• 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

Skills

Python Programming

Atmospheric Modeling

Data Assimilation Systems

Workflow Management Systems

Model Verification

Quality Control

Scientific Software Development

HPC Environments

Education

MA/MS in Meteorology

PhD Preferred

Tools

MPAS-JEDI

JEDI

WoFS

WoFSCast

EC-Flow

Rocoto

METplus

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