[ES_JOBS_NET] Data Science Instructor & Course Developer, CIRES/EarthLab, University of Colorado Boulder

[Christine Wiedinmyer]

Data Science Instructor & Course Developer
http://cires.colorado.edu/jobs/data-science-instructor-course-developer

The University of Colorado Earth Lab and the Cooperative Institute for Research in the Environmental Sciences (CIRES) are accepting applications for a data science instructor and course developer with experience with scientific programming in Python (required) and R (preferred). This is a full-time position with full benefits and a competitive market-based salary.
The successful candidate will develop undergraduate and graduate level courses that teach scientific programming, computing workflows (version control, cloud computing, etc.), science, and interdisciplinary collaboration. Specifically, the successful candidate will be tasked with developing and teaching Data Science Bootcamp (Geog 4463/5463) and Earth Analytics Applications (Geog 5663) courses. He or she might also assist in development of a Python equivalent of an existing Earth Analytics course (Geog 5563).
Courses created will be included in a professional graduate certificate in Earth Data Analytics - Foundations and forthcoming professional master's program in Earth Data Analytics. The successful applicant will also assist with evaluation activities including supporting development and implementation of evaluation protocols (surveys, rubrics, etc.) as well as research and publication in the area of data-intensive instruction.
This position will report to the Director of the Earth Analytics Education Initiative. Review of applications will begin on February 5, 2017, applications will be accepted until the position is filled. This will be a two-year appointment, with a strong likelihood of renewal.
________________________________
Responsibilities

  *   Create data science content for Earth Analytics courses that will be posted online (see earthdatascience.org for example course content)
  *   Serve as primary instructor for at least one Earth Analytics course per semester
  *   Assist in pedagogical research and evaluation through administering course surveys, analyzing data, and publishing on findings
  *   Initiate and foster relationships with industry partners to devise hands-on course projects based on real private sector needs, in order to better prepare students for careers in Earth Analytics

________________________________
Requirements

  *   Master's degree in science with strong data-intensive component from an accredited university
  *   Demonstrated teaching experience
  *   Atleast 2 years of experience working with large, heterogeneous, spatio-temporal scientific and other related datasets using GUI and non-GUI based tools
  *   Demonstrated proficiency in scientific programming, specifically Python
  *   Demonstrated working knowledge of Git and Github
Preferred Qualifications:

  *   2-5 years of professional experience in the field of technology or science
  *   2-5 years of experience teaching and/or developing courses or workshops at the university level (could include experience gained during graduate studies)
  *   Demonstrated experience working with spatial and remote sensing data
  *   Demonstrated experience working with data in R
  *   Demonstrated working knowledge of containerized workflows (e.g. Docker)
  *   Demonstrated working knowledge of cloud computing (e.g. Amazon Web Services)
  *   Demonstrated experience creating and teaching online courses
  *   Interest in pursuing research in the realm of data-intensive teaching approaches (pedagogy)
  *   Experience with collaborative workflows and tools (e.g. Google suite, Slack, etc.)
Preferred qualifications may be used to further reduce the pool of applicants to those who are most highly qualified.
________________________________
Benefits
Salary for this position is competitive and market-based and will be commensurate with education, relevant background and experience. In addition the University of Colorado offers excellent benefits, including medical, dental, retirement (with a 2-for-1 employer match), generous paid time off, tuition benefit and RTD ECO Bus Pass.  The University of Colorado Boulder is one of the largest employers in Boulder County and offers an inspiring higher education environment.
________________________________
Application Materials
Special Instructions to Applicants: The University of Colorado Boulder conducts background checks on all final applicants being considered for employment, prior to the issuance of an offer letter. The University of Colorado Boulder is committed to providing a safe and productive learning, living and working community. To achieve this goal, we conduct background investigations for all final applicants being considered for employment. Background investigations include a criminal history record check, and an EPLS (Excluded Parties List System) check. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work.
The University of Colorado is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. In compliance with applicable laws and in furtherance of its commitment to fostering an environment that welcomes and embraces diversity, the University of Colorado does not discriminate on the basis of race, color, creed, religion, national origin, sex (including pregnancy), disability, age, veteran status, sexual orientation, gender identity or expression, genetic information, political affiliation or political philosophy in its programs or activities, including employment, admissions, and educational programs. Inquiries may be directed to the Boulder Campus Title IX Coordinator by calling 303-492-2127. In accordance with the Americans with Disabilities Act, alternative formats of this ad can be provided upon request for individuals with disabilities by contacting Human Resources at adacoordinator at colorado.edu.
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Job Description - Data Science Instructor & Course Developer (12230)
Job Description
Data Science Instructor & Course Developer - 12230
Research Faculty Description

The University of Colorado Earth Lab and the Cooperative Institute for Research in the Environmental Sciences (CIRES) are accepting applications for a data science instructor and course developer with experience with scientific programming in Python (required) and R (preferred). This is a full-time position with full benefits and a competitive market-based salary.
The successful candidate will develop undergraduate and graduate level courses that teach scientific programming, computing workflows (version control, cloud computing, etc.), science, and interdisciplinary collaboration. Specifically, the successful candidate will be tasked with developing and teaching Data Science Bootcamp (Geog 4463/5463) and Earth Analytics Applications (Geog 5663) courses. He or she might also assist in development of a Python equivalent of an existing Earth Analytics course (Geog 5563).
Courses created will be included in a professional graduate certificate in Earth Data Analytics - Foundations and forthcoming professional master's program in Earth Data Analytics. The successful applicant will also assist with evaluation activities including supporting development and implementation of evaluation protocols (surveys, rubrics, etc.) as well as research and publication in the area of data-intensive instruction.
This position will report to the Director of the Earth Analytics Education Initiative. Review of applications will begin on February 5, 2017, applications will be accepted until the position is filled. This will be a two-year appointment, with a strong likelihood of renewal.
Duties
-Create data science content for Earth Analytics courses that will be posted online (see earthdatascience.org for example course content)
-Serve as primary instructor for at least one Earth Analytics course per semester
-Assist in pedagogical research and evaluation through administering course surveys, analyzing data, and publishing on findings
-Initiate and foster relationships with industry partners to devise hands-on course projects based on real private sector needs, in order to better prepare students for careers in Earth Analytics

 Qualifications

Minimum Qualifications:
-Master's degree in science with strong data-intensive component from an accredited university
-Demonstrated teaching experience
-Atleast 2 years of experience working with large, heterogeneous, spatio-temporal scientific and other related datasets using GUI and non-GUI based tools
-Demonstrated proficiency in scientific programming, specifically Python
-Demonstrated working knowledge of Git and Github


Preferred Qualifications:
-2-5 years of professional experience in the field of technology or science
-2-5 years of experience teaching and/or developing courses or workshops at the university level (could include experience gained during graduate studies)
-Demonstrated experience working with spatial and remote sensing data
-Demonstrated experience working with data in R
-Demonstrated working knowledge of containerized workflows (e.g. Docker)
-Demonstrated working knowledge of cloud computing (e.g. Amazon Web Services)
-Demonstrated experience creating and teaching online courses
-Interest in pursuing research in the realm of data-intensive teaching approaches (pedagogy)
 -Experience with collaborative workflows and tools (e.g. Google suite, Slack, etc.)

Preferred qualifications may be used to further reduce the pool of applicants to those who are most highly qualified.

What we can offer:
Salary for this position is competitive and market-based and will be commensurate with education, relevant background and experience. In addition the University of Colorado offers excellent benefits, including medical, dental, retirement (with a 2-for-1 employer match), generous paid time off, tuition benefit and RTD ECO Bus Pass.  The University of Colorado Boulder is one of the largest employers in Boulder County and offers an inspiring higher education environment.


Special Instructions to Applicants: The University of Colorado Boulder conducts background checks on all final applicants being considered for employment, prior to the issuance of an offer letter. The University of Colorado Boulder is committed to providing a safe and productive learning, living and working community. To achieve this goal, we conduct background investigations for all final applicants being considered for employment. Background investigations include a criminal history record check, and an EPLS (Excluded Parties List System) check. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work. The University of Colorado is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. In compliance with applicable laws and in furtherance of its commitment to fostering an environment that welcomes and embraces diversity, the University of Colorado does not discriminate on the basis of race, color, creed, religion, national origin, sex (including pregnancy), disability, age, veteran status, sexual orientation, gender identity or expression, genetic information, political affiliation or political philosophy in its programs or activities, including employment, admissions, and educational programs. Inquiries may be directed to the Boulder Campus Title IX Coordinator by calling 303-492-2127. In accordance with the Americans with Disabilities Act, alternative formats of this ad can be provided upon request for individuals with disabilities by contacting Human Resources at adacoordinator at colorado.edu.
Application Materials Required: Cover Letter, Resume/CV, Reference Letters (Not Confidential), Unofficial transcript(s)
Application Materials Instructions: Applicants must complete the Faculty/University Staff and EEO Data (application) form, and upload the following required documents: 1 - Cover Letter; 2 - CV; 3 - The document uploaded for Proof of Degree can be a Transcript which shows the date the degree was conferred; Copy of Diploma; or official letter from the Registrar or the Dean of the School or College conferring the degree; 4 -A non-confidential letter of reference This position is eligible for medical, dental and life insurance, retirement benefits programs, and is eligible for monthly vacation and sick leave accruals.

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