The National Socio-Environmental Synthesis Center (SESYNC) seeks a
full-time Data Science Instructor to join the cyberinfrastructure (CI)
group in developing and delivering workshops aimed at teaching natural and
social scientists how to apply data science skills in pursuit of their
research goals.



The incumbent will review existing open source training materials, plan and
create new curricula, and curate related repositories. In addition, she or
he will deliver the training materials at hands-on workshops in the
Annapolis, Maryland/Washington D.C. area, following in the Software
Carpentry/Data Carpentry style of training. Workshop audiences may include
undergraduate and graduate students, postdoctoral fellows, and faculty, as
well as NGO and government researchers. Topics may include data management
best practices, techniques for cleaning and restructuring data, basic
database development, data analysis and visualization, geospatial data
processing and analysis, collaborative coding and version control, and
integration and appropriate use of various computing tools for these tasks.



The ideal candidate will have a mix of experience in programming, science,
and math with a passion for hands-on teaching and enthusiasm for learning
new tools and developing new training materials to help scientists apply
them.



REQUIRED QUALIFICATIONS



Master’s degree in natural, social, computer, or information science

Teaching experience in a formal (e.g., classroom, lab) or informal (e.g.,
Software Carpentry) setting

Experience using R or Python for data management, analysis, and
visualization tasks

Basic working knowledge of command line operations and environment

Excellent verbal communication ability and interpersonal skills

Strong organizational skills for planning, coordinating, and delivering
workshops



DESIRED QUALIFICATIONS



Knowledge of SQL and open-source geospatial tools

Excellent written communication ability

Working knowledge of Git



TO APPLY



Visit http://www.sesync.org/careers/data-science-instructor for complete
details.



Evaluation of applications will begin December 1, 2015, and continue until
the position is filled.



The University of Maryland is an Equal Opportunity Employer. Minorities and
women are encouraged to apply.

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