CIRES/Earth Lab Research Data Scientist

The Cooperative Institute for Research in Environmental Sciences (CIRES) in Boulder, Colorado is seeking a Data Scientist.


Date posted

Apr. 13, 2021 12:00 am

Application deadline

June 13, 2021 12:00 am


The Cooperative Institute for Research in Environmental Sciences (CIRES) in Boulder, Colorado


  • United States

Job description

CIRES/Earth Lab Research Data Scientist

Requisition Number: 29628
Location: Boulder, Colorado
Employment Type: Research Faculty
Schedule: Full-Time
Date Posted: 07-Apr-2021


Job Summary

The Cooperative Institute for Research in Environmental Sciences (CIRES) in Boulder, Colorado is seeking a Data Scientist to work in the Earth Lab.
The chosen candidate will assist researchers and students with Earth data management, data science, and visualization by conducting custom project-specific analyses and developing generic libraries for broader use. Analytics methods include statistics, machine learning, and artificial intelligence for computer vision, natural language processing, and other deep learning applications. The applicant will contribute to collaborative and open-source code and R or Python package development. A primary aim of this role is to use emerging techniques in data science to integrate different datasets (remote sensing, eDNA, site inventory, social media, etc) across scales from microbes to continents. This is a relatively new area of Earth Science, so the candidate need not be a specialist on all aspects of the problem but should be willing to learn and to show initiative. We use state-of-the-art computing that uses existing cyber-infrastructure investments including high-performance compute and cloud services.
The candidate should have excellent technical and communication skills and be comfortable working in a team environment.
This position will be in Boulder, Colorado, with an office at Earth Lab under the direction of the Analytics Hub Director.

The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities.


  • Consult with and advise scientific researchers at the University of Colorado Boulder on efficient, appropriate, and powerful computational and informatics approaches for advancing scientific investigations in programming languages they use.
  • Assist with development and maintenance of Earth Lab’s Analytics Hub, and instruct users on how to utilize the system.
  • Participate in solutions around the integration of diverse remote sensing and in-situ datasets.
  • Work with Earth Lab developers and cyber-infrastructure collaborators to optimize interoperability and long-term sustainability of these codebases and datasets as generalized resources for science researchers. 
  • Participate in training efforts, including workshops for postdocs, graduate, or professional students. 


  • Bachelor’s or graduate degree in statistics, applied mathematics, computer sciences, or related fields with experience working with science groups OR a Bachelor’s degree or higher in the physical, earth, or environmental sciences or related fields with a strong quantitative background in statistics, machine learning, and programming.
  • Three year’s experience in data science and/or a quantitative scientific field.
  • Quantitative skills in statistics and informatics using Earth/ atmospheric/ geoscience/ biological data to integrate information across scales as well as computer vision, natural language processing, or other deep learning applications. 
  • Proficiency working with either R or Python.