Overview
The National Ecological Observatory Network (NEON, Inc.), a nonprofit 
science corporation dedicated to understanding how changes in climate, 
land use and invasive species impact ecology, has an immediate opening for 
a Data Products Team Lead.  We are currently designing the NEON project – 
an observatory comprising more than 60 atmospheric, environmental and 
biological monitoring sites distributed throughout twenty domains across 
the United States, Hawaii, Alaska & the Caribbean, monitored and 
controlled in real-time from our headquarters in Boulder, Colorado. 
The primary outputs of the NEON Observatory are ecological Data Products, 
including the measurements taken by NEON’s sensor infrastructure and the 
results of NEON biological samples, and higher-level integrated Data 
Products based upon the measurements and resulting from complex 
algorithms.   The high level Data Products will translate NEON in situ and 
remote observations into continental-scale estimates and forecasts using 
simulation and statistical approaches.  The Data Products Team Lead will 
lead a critical effort within NEON and should be an international leader 
in environmental science and modeling, and have broad knowledge of 
ecological modeling and data analysis. 
Location
This position will be based in Boulder CO.

Summary
The DP Team Lead will be responsible for leading the development and 
publishing the NEON Observatory High Level Data Product algorithms, 
including defining, documenting and implementing the algorithms used to 
convert NEON’s environmental data into information that can be used by the 
scientific community and the general public. We are looking for a leading 
quantitative ecologist interested in playing a major role in the future of 
the field designing computational intensive, tera-scale data analyses 
within the NEON context.  
NEON High Level Data Products include biophysical, biogeochemical, 
geospatial, population/community and genomic/metagenomic variables.  NEON 
data products will be developed by collaborative teams, including 
extensive interaction with the scientific community.  This is an 
autonomous role, requiring an experienced highly-motivated individual who 
is flexible and enthusiastic. The person will be responsible for direct 
management, including technical leadership and supervision, of a group of 
scientists, and will regularly report to project management and 
stakeholders, and organize and participate in internal and external 
reviews. The Data Products Team Lead will report directly to the NEON 
Project Manager.  A Data Products Oversight Committee (chaired by the NEON 
Director) will provide strategic and implementation advice to the Data 
Products Team Lead. The person will be encouraged to play a leading role 
in studies and related publications of new Observatory measurements and 
Data Products, in support of our mission. 
We are looking a problem solver who can successfully apply experience, 
judgment, and creativity to both short- and long-term challenges, and get 
the job done on-time and within-budget in a high-pressure environment. 
NEON data cover an extremely broad range of topics including microbial 
genomes, traditional organism based field measurements, instrumental 
measurements of atmospheric and aquatic physical and chemical 
environments, airborne remote sensing and satellite and census based 
geographic products.  Therefore, we seek a scientist with a very broad 
experience in quantitative environmental science with a profound knowledge 
of at least one of the major NEON subject areas: modeling/analysis of 
biodiversity, biogeochemistry, invasive species, infectious disease, 
ecohydrology, climate and land use. The incumbent will represent NEON 
nationally and internationally in ecological and eco-informatics, and 
should be an effective speaker and writer.
Essential Duties and Responsibilities:
•       Intellectual and operational leadership of the Data Products 
activity within NEON, and interacting with the broad scientific community 
regarding the state, improvement, extension and enhancement of the Data 
Products activity.
•       Selecting and developing talent to deliver NEON Observatory Data 
Products, organizing and managing data product team to develop data 
product algorithms. 
•       Define requirements for, design and implementation of the 
algorithms supporting the conversion of NEON Observatory measurements into 
Data Products for the ecological community. 
•       Plan and manage workflow components in support of the NEON project.
•       Support NEON Observatory operations, and participate in R&D 
projects to prepare for future programs and projects and Data Products.
•       Understand and where necessary define administrative and project 
management processes essential to the Data Products Team, including 
planning, tracking and reporting to assess project performance. 
•       Interface with NEON science product teams and cyberinfrastructure 
teams
Education
•       Ph.D. in ecology, bioinformatics or a related environmental 
science field, preferably with a broad understanding of the present state 
of ecological research and modeling technologies, including 
bioinformatics. 

Required Experience
•       A minimum of 7 years scientific or engineering experience to 
quickly learn the broad range of environmental science topics of NEON; 
some exposure to large scientific facilities and dispersed collaborations 
of scientists, is required. 
•       Experience in successfully managing a diverse range of scientific 
and professional staff and/or teams of software developers.
•        Fluency in modern project software. 
•       Experience in start-up environments would be beneficial. 
Skills and Abilities:
•       Highly-developed interpersonal and communications and negotiation 
skills, with proven ability to manage external contractual relationships.
•       Excellence in written communication and good presentation skills 
are expected. 
Apply at: www.neoninc.org
Include your cover letter, CV, and list of references
NEON Inc. is an Equal Opportunity Employer. Women, Minorities, Veterans 
and Disabled Persons are encouraged to apply.

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