Climate and Weather Data Analytics Developer

The Lawrence Livermore National Laboratory (LLNL) has an opening for a Climate and Weather Data Analytics Developer.


Date posted

May 14, 2020 12:00 am

Application deadline

June 14, 2020 12:00 am


Lawrence Livermore National Laboratory (LLNL)


  • United States

Job description

Climate and Weather Data Analytics Developer

Location:  Livermore, CA
Posting Requirement:  External Posting
Job ID: 107123
Job Code: Science & Engineering MTS 2 (SES.2)
Date Posted: May 11 2020

Join us and make YOUR mark on the World!

Come join Lawrence Livermore National Laboratory (LLNL) where we apply science and technology to make the world a safer place; now one of 2020 Best Places to Work by Glassdoor!


We have an opening for a Climate and Weather Data Analytics Developer to provide long-term support for research work in the area of model data analytics and diagnostics, including the intercomparison of model results with a variety of observational data. You will be working on the PCMDI Metrics Package (PMP), Coordinated Model Evaluation Capabilities (CMEC) package, and related analysis, display and data management software in the PCMDI project. This position is in the Climate Modeling and Analysis Group in the Atmospheric, Earth and Energy Division.

Essential Duties
- Support development of new and moderately complex analytics, diagnostics and metrics within the python-based CDAT software system based on user requirements.
- Develop, maintain, and contribute to plans for new projects, maintenance releases, code management, and lifecycle replacement.
- Employ software engineering methods to conduct software systems analysis and prototyping.
- Write and review technical and end-user documentation.
- Give formal and informal presentations to staff members, external collaborators, and scientific conferences.
- Contribute to publications of research results in technical reports and peer-reviewed journals.
- Travel as required to coordinate work with collaborators.
- Perform other duties as assigned.

- M.S. Degree in atmospheric science, oceanography, earth science, physics, or closely related field, or the equivalent combination of education and related experience.
- Experience in Linux/Unix operating systems and shell programming.
- Experience working with ~terabyte-sized model output and observational data sets using NetCDF, HDF or similar self-describing formats.
- Experience programming in Python.
- Ability to work on multiple tasks and meet deadlines.
- Proficient verbal and written communication skills necessary to independently write reports and exchange technical information with colleagues
- Possession of the interpersonal skills necessary to work in a diverse, multidisciplinary research team.