1+ months

Climate and Weather Data Analytics Developer

Lawrence Livermore National Laboratory
Livermore, CA 94550

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 processing, analyzing and managing a variety of model output and observational data. You will be working on output from a suite of weather and climate models, especially the Energy Exascale Earth System Model and the Weather and Forecasting Model (WRF). This position is in the Climate Sciences Group in the Atmospheric, Earth, and Energy Division.

Essential Duties

  • Support development of new and moderately complex analytics, diagnostics and metrics within Anaconda python-based software system with LLNL extensions 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.

  • Ability to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. Citizenship.
  • M.S. Degree in atmospheric science, oceanography, earth science, physics, engineering, data science or closely related field, or the equivalent combination of education and related experience.
  • Experience in Linux/Unix operating systems and shell programming.
  • 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.
  • Ability to travel as required.

Desired Qualifications

  • Experience with statistical analysis, data science, uncertainty quantification, ensembles and/ machine learning.
  • Experience working with ~terabyte-sized model output and observational data sets using NetCDF, HDF or similar self-describing formats.
  • ·Experience working with scientists in atmospheric science, oceanography, climate science, or closely related field and knowledge of fundamentals and best practices of modern software development (e.g., GitHub, Anaconda).

All your information will be kept confidential according to EEO guidelines.

Position Information

This is a Career Indefinite position. Lab employees and external candidates may be considered for this position.

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Why Lawrence Livermore National Laboratory?

  • Included in 2022 Best Places to Work by Glassdoor!
  • Work for a premier innovative national Laboratory
  • Comprehensive Benefits Package
  • Flexible schedules (*depending on project needs)
  • Collaborative, creative, inclusive, and fun team environment

Learn more about our company, selection process, position types and security clearances by visiting our Career site.

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COVID-19 Vaccination Mandate

LLNL demonstrates its commitment to public safety by requiring that all new Laboratory employees be immunized against COVID-19 unless granted an accommodation under applicable state or federal law. This requirement will apply to all new hires including those who will be working on site, as well as those who will be teleworking.

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Security Clearance

This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. In addition, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. For additional information, please see DOE Order 472.2.

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Pre-Employment Drug Test

External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

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Equal Employment Opportunity

LLNL is an affirmative action and equal opportunity employer that values and hires a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.

If you need assistance and/or a reasonable accommodation during the application or the recruiting process, please submit a request via our online form.

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California Privacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.


Join us and make YOUR mark on the World!

Are you interested in joining some of the brightest talent in the world to strengthen the United States' security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

We are committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is essential to innovation and creativity for continued success of the Laboratory's mission.

"},"jobDescription":{"title":"Job Description","text":"

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 processing, analyzing and managing a variety of model output and observational data. You will be working on output from a suite of weather and climate models, especially the Energy Exascale Earth System Model and the Weather and Forecasting Model (WRF). This position is in the Climate Sciences Group in the Atmospheric, Earth, and Energy Division.

Essential Duties

  • Support development of new and moderately complex analytics, diagnostics and metrics within Anaconda python-based software system with LLNL extensions 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.
"},"qualifications":{"title":"Qualifications","text":"
  • Ability to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. Citizenship.
  • M.S. Degree in atmospheric science, oceanography, earth science, physics, engineering, data science or closely related field, or the equivalent combination of education and related experience.
  • Experience in Linux/Unix operating systems and shell programming.
  • 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.
  • Ability to travel as required.

Desired Qualifications

  • Experience with statistical analysis, data science, uncertainty quantification, ensembles and/ machine learning.
  • Experience working with ~terabyte-sized model output and observational data sets using NetCDF, HDF or similar self-describing formats.
  • ·Experience working with scientists in atmospheric science, oceanography, climate science, or closely related field and knowledge of fundamentals and best practices of modern software development (e.g., GitHub, Anaconda).

Categories

Posted: 2022-04-21 Expires: 2022-06-23

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Climate and Weather Data Analytics Developer

Lawrence Livermore National Laboratory
Livermore, CA 94550

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