Tornado Radar Data Scientist (Hybrid)

careers-fedwriters; Norman (OK); Hybrid; USD 83,000 - 87,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

Long-term and Short-term Disability보험

Life Insurance

401(k) Plan

Holiday Pay

Paid Time Off

Job summary

FWI in Norman, Oklahoma, seeks a Research Analyst to synthesize radar datasets from NSSL and open sources, building and maintaining a database linking radar observations to damage surveys.

This full-time hybrid role requires 8–5 CST, 40 hours weekly, with 90% on-site at National Weather Center and occasional field deployments; you will publish results, contribute to RAPTOR data collection, and advance tornado science.

Qualifications

• MS Degree (PhD Preferred) in meteorology, atmospheric science, or a related field
• 8+ years of professional and/or academic experience
• Experience with weather radar observations, including interpretation of base and polarimetric data and quality control thereof
• Experience with manual or objective Doppler velocity dealiasing techniques
• Experience deploying mobile instruments, including familiarity with existing fixed and mobile weather radars (preferred)
• Familiarity with radar-based quality control software such as the Python ARM Radar Toolkit, RadX, and Solo3
• Experience with Python and/or other coding languages for data workflows and analysis
• Familiarity with field project design and management
• Established record of leading scientific research and publishing results

Responsibilities

• Assist NSSL Scientist(s) to compile, document, quality control, and analyze research radar data of tornadoes observed at close (<15 km) range
• Seek NSSL and open-source external datasets, convert them to a common format, perform manual or objective quality control of Doppler velocity information, and cross-reference the datasets with ground-based damage surveys of tornadoes
• Create and maintain a database of radar-observed tornadoes, including developing a framework for community contribution, that includes details such as the observing radar system and relevant system attributes, peak radar-observed Doppler and rotational velocity, tornado and parent storm characteristics, minimum range from the radar, and links to available radar data
• Collaborate with NSSL scientists to use research radar observations to understand tornadoes, including their spatiotemporal evolution and impacts on the natural and built environment; publish relevant studies in reports and refereed journals; present at international conferences
• Contribute, as possible, to data collection with the NSSL RAPTORs, including designing observational strategies to collect close-range radar observations of tornadoes

Skills

Python

Doppler velocity

Radar data interpretation

Quality control

Education

MS Degree

PhD preferred

Tools

Python ARM Radar Toolkit

RadX

Solo3

Job description

FWI in Norman, Oklahoma, seeks a Research Analyst to synthesize radar datasets from NSSL and open sources, building and maintaining a database linking radar observations to damage surveys.

This full-time hybrid role requires 8–5 CST, 40 hours weekly, with 90% on-site at National Weather Center and occasional field deployments; you will publish results, contribute to RAPTOR data collection, and advance tornado science.