AMA

ResearchScientist

$90–125k Hampton, Virginia, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Research Scientist at AMA. Skills: Atmospheric remote sensing, Atmospheric composition, Data analysis, Scientific programming. Conduct scientific programming. Conduct data analysis”

Industry & Context.

Problems you'll solve

Analytical skills; Problem-solving skills; Uncertainty analysis; Retrieval evaluation

Eligibility Requirements

Live within commuting distance

What They're Looking For.

Must Have

Bachelor’s in Physics, Atmospheric Science degree, 5-10 years atmospheric datasets, Background atmospheric physics, Background atmospheric chemistry, Background atmospheric dynamics, Scientific programming proficiency, Python programming proficiency, MATLAB programming proficiency, IDL programming proficiency, Analyze atmospheric data products, Analytical skills, Problem-solving skills, Uncertainty analysis, Retrieval evaluation, Oral communication skills, Written communication skills, U. S. Citizenship, Permanent Residence

Nice to Have

PhD in relevant discipline, Familiarity stratospheric chemistry, Familiarity stratospheric dynamics, Experience atmospheric model data, Interpret atmospheric transport, Interpret chemical evolution, Experience SAGE I/II/III, Experience MLS, Experience ACE-FTS, Experience OMPS-LP, Experience satellite remote sensing, Experience reanalysis products, Experience stratospheric trace gas models, Familiarity NASA data systems, Familiarity NetCDF format, Familiarity HDF format, Familiarity analysis workflows, Experience collaborating university partners, Experience collaborating government partners

What You'll Do.

Conduct scientific programming

Conduct data analysis

Analyze atmospheric measurements

Interpret atmospheric measurements

Perform ensemble analyses

Interpret ensemble analyses

Collaborate NASA scientists

Collaborate university partners

Assess temporal evolution

Prepare technical documentation

Contribute software development

Contribute configuration management

Contribute deployment

How You'll Work.

Team & Collaboration

NASA scientists; University partners

Communication Scope

Oral communication; Written communication; Technical documentation; Present scientific analyses

Full Job Description

_**Job Description:**_ AMA is seeking a career level Research Scientist to support atmospheric remote sensing research at NASA Langley Research Center (LaRC). This role focuses on advancing the analysis of long‑term atmospheric data records and enhancing NASA’s expertise in interpreting global observations of atmospheric composition measurements. A candidate with strong expertise in atmospheric remote sensing, middle atmospheric composition, and trace gas chemistry and dynamics is desired for this position. Engagement with the broader scientific community and presentation of novel scientific analyses will be expected. The selected candidate will help to develop time series analyses and to interpret long-term observations of trace gases and atmospheric state parameters from satellite observations. Additional experience in passive remote sensing instrument characterization and retrieval algorithms would be an asset. This position integrates scientific programming, data analysis, time series analysis, and atmospheric chemistry and dynamics as part of NASA’s mission to understand atmospheric variability and long‑term trends. The successful candidate will be required to live within a reasonable commuting distance from the NASA Langley Research Center in Hampton, VA. The salary range is $90,000-$125,000 commensurate with education and experience. ## **Key Responsibilities** ​​ * Conduct scientific programming and data analysis for atmospheric remote sensing products, including ozone, water vapor, and related trace gases. * Analyze and interpret atmospheric measurements from NASA and partner instruments, including long‑term data sets and climatologies. * Perform and interpret ensemble analyses to statistically intercompare satellite remote sensing observations and climatological models and re-analyses of atmospheric composition and dynamics. * Collaborate with NASA scientists and university partners to assess the temporal evolution of atmospheric state variables and gaseou

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