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Assistant Ecological Data Scientist

Boulder CO

Battelle is guided by a founding mission. We invest our knowledge, talents and resources, helping our customers achieve their most important goals. We apply scientific rigor and creativity, succeeding where others may fail, and we invest in our communities, making the world better for generations to come. All of us share a common purpose: to solve the greatest challenges of today and tomorrow.

Our 22,000 employees work at the forefront of scientific innovation to tackle critical challenges in security, human health, manufacturing, energy and environmental management. Battelle’s work is grounded in the belief that science, technology and a passion for excellence can make industries more competitive and the world a better place.



Battelle manages and operates the National Ecological Observatory Network (NEON) project, which is solely funded by the National Science Foundation. A 30+ year project dedicated to understanding how changes in climate, land use and invasive species impact ecosystems, the observatory’s scientists and engineers collect a comprehensive range of ecological data on a continental scale across 20 eco-climatic domains that represent dominant North American ecosystems. Our teams use cutting-edge technology, including an airborne observation platform that captures images of regional landscapes and vegetation; mobile, relocatable, and fixed data collection sites with automated ground sensors to monitor soil and atmosphere; and trained field crews who observe and sample populations of diverse organisms and collect soil and water data. All NEON data are published online and made freely available to the public. The Observatory includes more than 500+ personnel and is the first of its kind designed to detect and enable forecasting of ecological change at continental scales.

We are currently seeking a Research Assistant – Ecology Data Science team member. This position is located in Boulder, CO.


The Assistant Ecology Data Scientist will be part of the NEON Science Team that is responsible for operating, maintaining, and ensuring the success of a national program to generate > 175 data products from 81 sites throughout the US for over 30 years. The Science Team develops, maintains, and improves field and lab protocols, derives data processing algorithms and algorithms for data QA/QC and uncertainty estimates, and supports field personnel to produce high quality data products for the research, education, and decision-making communities.

Within the Science Team, the Assistant Ecology Data Scientist will provide operational support to the Aquatic and Terrestrial Observation System groups and will assist with a diversity of tasks that arise according to the dynamic needs of the Team. Duties will include working with subject matter experts to perform data management and quality assurance for Aquatic and Terrestrial Observation System data products and assisting with code-based revision of existing data collection forms as well as creation and revision of data ingest documentation.



Assist in the development, management, and documentation of mobile field data collection applications.

Effectively communicate with multiple teams to troubleshoot data application and data quality issues and improve digital data processes.

Develop, document, and implement algorithms or procedures to monitor and improve data quality.

Proactively acquire skills to investigate published data for quality issues stemming from data collection, gaps in expected data, or problems with the data product processing pipeline.

Become proficient in the use of various in-house data quality management tools, including commercial incident tracking software.

Contribute to other NEON project deliverables as needed.

Proactively develop knowledge of NEON and site specific environmental protection requirements, policy and procedures.



Bachelor's degree in ecology, environmental science, or a related scientific field and 0 – 2 years of experience.

Experience with data management and implementation of data quality control and assurance procedures.

Proficiency with the R computing language (or similar), including ability to perform routine tasks such as manipulating data sets, analysis and detection of data quality issues, and writing reusable functions or tools.

Takes initiative and is able to work effectively with general guidance from subject matter experts and team leads.

Attention to detail.

Ability to effectively prioritize competing tasks and execute multiple activities.


Applicants must have authorization to work in the United States.



Familiarity with Python, Javascript, or other computing languages.

Experience with reproducible workflows, including code-sharing on platforms such as GitHub.

Experience in developing, implementing, and documenting QA/QC procedures for large data sets.

Ability to automate programmatic tasks.



The above statements are intended to describe the nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, activities and skills required of staff members. No statement herein is intended to imply any authorities to commit Battelle unless special written permission is granted by Battelle’s Legal Department



Battelle’s competitive benefits program includes comprehensive medical and dental care, matching 401K, paid time off, flexible spending accounts, disability coverage, and other benefits that help provide financial protection for you and your family.



Posted September 26, 2019

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