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.
 
The National Ecological Observatory Network (NEON) project is focused on 
building and operating an NSF-sponsored Observatory that that gathers 
and synthesizes data on the impacts of climate change, land use change 
and invasive species on natural resources and biodiversity.
 
We are currently seeking a Data Science Lead. This position located in 
Boulder, CO at the NEON project headquarters.
 
JOB DESCRIPTION

The Data Science Lead is responsible for developing web-based, data 
science tutorials, informational resources, and tools for helping 
scientists and students use large, ecological datasets (NEON and NEON-
like data), including online data management and analysis tools, subsets 
of large datasets, and algorithms/code to process and visualize data. In 
addition, the Data Science Lead will develop and lead workshops, courses 
and seminars for scientists, faculty and students focused on using 
large, ecological datasets for scientific research and teaching. He/she 
will work closely with Battelle/NEON project research scientists, 
science community, and university faculty to develop resources that 
support the use of diverse ecological datasets, including NEON data, for 
research and student learning.

Essential Duties and Responsibilities:
•       Research, develop and/or oversee content for the NEON Data 
Skills web portal (neondataskills.org), including content related to
o       continental-scale ecology,
o       NEON and NEON-like data,
o       activities that teach key data management and analysis skills 
using data subsets, code and GUI-based data analysis tools.
•       Identify key data products (including both NEON and external 
datasets) and science topics to be used as part of online data science 
activities, in collaboration with Battelle/NEON project research 
scientists and science community at-large.
•       Develop, test and implement algorithms/code and tools that can 
be used to analyze NEON data and/or subsets of NEON-like data to support 
online resources and tools as well as workshops and courses.
•       Lead, develop, teach and coordinate data science workshops, 
webinars and online courses focused on NEON-related topics and/or 
ecological data for scientists, students and faculty
•       Build partnerships with college/university faculty, researchers 
and other stakeholders to design, develop and implement data science 
content
•       Participate in designing and implementing evaluation and 
assessment strategies for data resources and programs
•       Support/assist in developing and implementing strategic plans 
for business development in data science/skills area
•       Prepare technical sections of proposals; may manage proposals or 
major sections of large proposals
•       Lead and/or oversee project teams developing data science 
tutorials, informational resources, and tools for helping scientists and 
students use large, ecological datasets
•       Participate in scientific conferences, peer review panels, 
meetings and other appropriate events to network, share resources, and 
establish/maintain partnerships

 
THE FOLLOWING REQUIREMENTS MUST BE MET TO BE CONSIDERED FOR THIS 
POSITION:

•       Ph.D. in ecology, natural sciences, environmental science, data 
science or related area and 0-3 years of experience OR equivalent 
combination of education and experience.
•       Experience working with key data analysis tools needed to work 
with large, ecological datasets such as R, Python, Octave, QGIS, ArcGIS, 
etc.
•       Experience working with large scientific datasets
•       Experience developing online resources and/or activities focused 
on using big data in scientific analyses
•       Experience developing and implementing data science-based 
programs, online and in-person, with college-level students and faculty
•       Demonstrated ability to understand and translate complex data 
science topics to a variety of audiences
•       Demonstrated skills in data management and data analysis of a 
variety of data types
•       Ability to speak in public to a diversity of audiences including 
scientists, science educators, college/university faculty, college-level 
students, and funding agency (NSF) program directors
•       Strong problem solving and analytical skills and ability to be 
detail oriented
 
 
THE FOLLOWING IS DESIRED, BUT NOT REQUIRED TO BE CONSIDERED FOR THIS 
POSITION:

•       Experience working with online collaboration and development 
tools – e.g., GitHub, GitHub pages, Jupyter Notebooks
•       Competence in web content development utilizing basic HTML, 
Jekyll, and CSS layout
•       Ability to enter, maintain and revise web content using a 
content management system (CMS) – e.g. Drupal, joomla, Liferay
•       Working familiarity with data management tools – e.g. database 
tools – PostSQL, MySQL, Access
•       Basic familiarity in using Dreamweaver, InDesign, Photoshop 
and/or other design software
•       Experience using and developing content for course management 
systems for online teaching – e.g. Moodle or Blackboard
•       Experience developing and funding projects through grant 
proposals to federal agencies (e.g, NSF, NASA, NOAA), foundations and/or 
local/regional funding organizations
•       Understanding of instructional approaches for online science 
learning such as online courses, learning modules for students, and 
professional development resources for faculty
 

Apply at: https://jobs.battelle.org/ShowJob/Id/1127946/Data-Science-
Lead/

 
BENEFITS
 
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.
 
Battelle is an Affirmative Action/Equal Opportunity Employer and 
supports diversity in the workplace. Applicants will receive 
consideration for employment without regard to race, color, religion, 
sex, national origin, age, disability, veteran status, marital status, 
or sexual orientation. For more information about our other openings, 
please visit www.battelle.org/careers

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