> Markdown version of [/jobs/ext/2658516-26-118-ensemble-prediction-scientist](https://www.wearedevelopers.com/jobs/ext/2658516-26-118-ensemble-prediction-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# 26-118: Ensemble Prediction Scientist

- **Company:** Colorado State University
- **Location:** Boulder, CO, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $115,000.0 - $125,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computing Platforms, C++ (Programming Language), Linux, Fortran (Programming Language), Python (Programming Language), Systems Development Life Cycle, High Performance Computing, Data Analytics
- **Published:** August 3, 2026
- **Apply:** https://dejobs.org/x/x/53BF2A78807343E294831C1D1DA70C9B/job/

## About the Role

NOTE: In the body of your resume, please specifically address all required qualifications when describing your work experience. A resume that fails to specifically address the qualifications of this position may not be further considered by the search committee.

 * Ph.D. in Atmospheric Science or related field, and
 * At least seven (7) years of experience in developing, executing, and/or verifying and evaluating the forecasts from numerical weather prediction systems.
 * At least three years of experience in Fortran and/or C++, Python, high-performance computing, and Linux computing environments.
 * At least three years of experience formulating and acting upon (and/or directing others in acting upon) scientific priorities as it relates to numerical weather prediction.
 * Experience communicating scientific results, such as through conference presentations, seminars, technical reports, and/or publications.
 * This position requires a National Agency Check with Inquiries (NACI), tier 1 federal background check and a NOAA Common Access Card (CAC) ID badge for systems access. Therefore, only US citizens and lawful permanent residents with a physical USCIS "Green Card" are eligible.

Preferred Qualifications:

NOTE: In the body of your resume, please specifically address all applicable preferred qualifications when describing your work experience. A resume that fails to specifically address the qualifications of this position may not be further considered after review by the search committee.

 * Knowledge of state-of-the-art ensemble weather prediction systems and their strengths and weaknesses as it relates to physical consistency and balancing probabilistic skill with appropriate forecast dispersion.
 * Knowledge of state-of-the-art methods for verifying ensemble/probabilistic weather prediction forecasts, including community and/or proprietary verification software containing these capabilities.
 * Knowledge of state-of-the-art regional (particularly thunderstorm-resolving) and/or global numerical weather prediction models.
 * Familiarity with data-driven (i.e., artificial-intelligence-based) weather prediction models, preferably those trained to provide probabilistic forecasts.
 * Experience using and contributing to community modeling systems.
 * Experience with NOAA's Unified Forecast System (UFS), the Weather Research and Forecasting (WRF) model, and/or the Model for Prediction Across Scales (MPAS).

## Description

The individual in this position will lead the development of next-generation ensemble (or probabilistic) numerical weather prediction systems. They will serve as a scientific lead to inform how these systems are designed, how they can be leveraged to provide effective decision-support guidance to end users, and priorities for future developments. Major duties will include implementing and refining existing ensemble generation and evaluation methods; developing novel methods for generating and evaluating the outputs of ensemble numerical weather prediction forecasts; and designing, conducting, and evaluating the outputs of hypothesis-driven experiments to test innovations for improving probabilistic forecast skill and spread. The person in this role is expected to provide leadership in the Physics branch for the development of high-resolution, regional and global, ensemble weather prediction systems that are skillful, reliable, physically realistic, and useful to a wide range of
stakeholders. This position will report to the CIRA Associate Director., * Serve as a scientific lead for high-resolution (convective-allowing) ensemble weather prediction system development to inform the design of future operational ensemble weather prediction and decision-support systems, including leading the formulation, execution, and tracking of priorities for ensemble prediction, verification, and visualization.

 * Lead the implementation and refinement of current-generation ensemble prediction methods within prototype high-resolution ensemble weather prediction systems.
 * Contribute to the development of novel high-resolution ensemble weather prediction methods, including but not limited to mixed physics-based and data-driven ensembles.
 * Design, conduct, and evaluate hypothesis-driven experiments to test innovations for improving probabilistic skill and generating appropriate dispersion within prototype high-resolution ensemble weather prediction systems.
 * Lead the verification of high-resolution ensemble weather prediction systems using state-of-the-art verification methods and potentially developing novel verification methods.
 * Prepare briefing materials and presentations for branch management, internal meetings, conferences, and workshops, and regularly publish scientific content.

Conditions of Employment:

 * This position allows for a hybrid working modality that, with satisfactory performance, allows for up to 2 days per week of telework.
 * This full-time position requires a National Agency Check with Inquiries (NACI), tier 1 federal background check and a NOAA Common Access Card (CAC) ID badge for systems access. Therefore, only US citizens and lawful permanent residents with a physical USCIS "Green Card" are eligible.

Supervision:

The individual in this position will supervise 1-3 employees., Colorado State University strives to provide a safe study, work, and living environment for its faculty, staff, volunteers and students. To support this environment and comply with applicable laws and regulations, CSU conducts background checks for the finalist before a final offer. The type of background check conducted varies by position and can include, but is not limited to, criminal history, sex offender registry, motor vehicle history, financial history, and/or education verification. Background checks will also be conducted when required by law or contract and when, in the discretion of the University, it is reasonable and prudent to do so.


## Related Videos

- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Modern Web Development with Nuxt3](https://www.wearedevelopers.com/videos/294-modern-web-development-with-nuxt3)
- [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games)
- [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker)

## Related Articles

- [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers)
- [Quick guide: How to write a Software Developer CV](https://www.wearedevelopers.com/magazine/37-quick-guide-how-to-write-a-software-developer-cv)
- [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [How to Write a CV and Interview if You Don't Fully Qualify For The Job](https://www.wearedevelopers.com/magazine/183-how-to-write-a-cv-and-interview-if-you-don-t-fully-qualify-for-the-job)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)