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<p class="MsoNormal"><b>Data Science Instructor & Course Developer<o:p></o:p></b></p>
<p class="MsoNormal">http://cires.colorado.edu/jobs/data-science-instructor-course-developer<o:p></o:p></p>
<p class="MsoNormal" style="margin-bottom:7.5pt;line-height:18.0pt;background:#FBFBFB">
<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555"><o:p> </o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">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.<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:7.5pt;line-height:18.0pt;background:#FBFBFB">
<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">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).<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:7.5pt;line-height:18.0pt;background:#FBFBFB">
<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">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.<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">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.<o:p></o:p></span></p>
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<span style="font-size:22.5pt;font-family:"Helvetica",sans-serif;color:#333333">Responsibilities<o:p></o:p></span></p>
<ul type="disc">
<li class="MsoNormal" style="color:#333333;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1;background:#FBFBFB">
<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif">Create data science content for Earth Analytics courses that will be posted online (see earthdatascience.org for example course content)<o:p></o:p></span></li><li class="MsoNormal" style="color:#333333;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1;background:#FBFBFB">
<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif">Serve as primary instructor for at least one Earth Analytics course per semester<o:p></o:p></span></li><li class="MsoNormal" style="color:#333333;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1;background:#FBFBFB">
<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif">Assist in pedagogical research and evaluation through administering course surveys, analyzing data, and publishing on findings<o:p></o:p></span></li><li class="MsoNormal" style="color:#333333;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1;background:#FBFBFB">
<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif">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<o:p></o:p></span></li></ul>
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<span style="font-size:22.5pt;font-family:"Helvetica",sans-serif;color:#333333">Requirements<o:p></o:p></span></p>
<ul type="disc">
<li class="MsoNormal" style="color:#333333;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo2;background:#FBFBFB">
<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif">Master’s degree in science with strong data-intensive component from an accredited university<o:p></o:p></span></li><li class="MsoNormal" style="color:#333333;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo2;background:#FBFBFB">
<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif">Demonstrated teaching experience<o:p></o:p></span></li><li class="MsoNormal" style="color:#333333;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo2;background:#FBFBFB">
<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif">Atleast 2 years of experience working with large, heterogeneous, spatio-temporal scientific and other related datasets using GUI and non-GUI based tools<o:p></o:p></span></li><li class="MsoNormal" style="color:#333333;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo2;background:#FBFBFB">
<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif">Demonstrated proficiency in scientific programming, specifically Python<o:p></o:p></span></li><li class="MsoNormal" style="color:#333333;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo2;background:#FBFBFB">
<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif">Demonstrated working knowledge of Git and Github<o:p></o:p></span></li></ul>
<p class="MsoNormal" style="mso-line-height-alt:18.0pt;background:#FBFBFB"><span style="font-size:22.5pt;font-family:"inherit",serif;color:#555555">Preferred Qualifications:</span><span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555"><o:p></o:p></span></p>
<ul type="disc">
<li class="MsoNormal" style="color:#333333;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo3;background:#FBFBFB">
<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif">2-5 years of professional experience in the field of technology or science<o:p></o:p></span></li><li class="MsoNormal" style="color:#333333;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo3;background:#FBFBFB">
<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif">2-5 years of experience teaching and/or developing courses or workshops at the university level (could include experience gained during graduate studies)<o:p></o:p></span></li><li class="MsoNormal" style="color:#333333;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo3;background:#FBFBFB">
<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif">Demonstrated experience working with spatial and remote sensing data<o:p></o:p></span></li><li class="MsoNormal" style="color:#333333;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo3;background:#FBFBFB">
<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif">Demonstrated experience working with data in R<o:p></o:p></span></li><li class="MsoNormal" style="color:#333333;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo3;background:#FBFBFB">
<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif">Demonstrated working knowledge of containerized workflows (e.g. Docker)<o:p></o:p></span></li><li class="MsoNormal" style="color:#333333;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo3;background:#FBFBFB">
<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif">Demonstrated working knowledge of cloud computing (e.g. Amazon Web Services)<o:p></o:p></span></li><li class="MsoNormal" style="color:#333333;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo3;background:#FBFBFB">
<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif">Demonstrated experience creating and teaching online courses<o:p></o:p></span></li><li class="MsoNormal" style="color:#333333;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo3;background:#FBFBFB">
<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif">Interest in pursuing research in the realm of data-intensive teaching approaches (pedagogy)<o:p></o:p></span></li><li class="MsoNormal" style="color:#333333;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo3;background:#FBFBFB">
<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif">Experience with collaborative workflows and tools (e.g. Google suite, Slack, etc.)<o:p></o:p></span></li></ul>
<p class="MsoNormal" style="line-height:18.0pt;background:#FBFBFB"><i><span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">Preferred qualifications may be used to further reduce the pool of applicants to those who are most highly
qualified.</span></i><span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555"><o:p></o:p></span></p>
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<span style="font-size:22.5pt;font-family:"Helvetica",sans-serif;color:#333333">Benefits<o:p></o:p></span></p>
<p class="MsoNormal" style="line-height:18.0pt;background:#FBFBFB"><span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">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.<o:p></o:p></span></p>
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<span style="font-size:22.5pt;font-family:"Helvetica",sans-serif;color:#333333">Application Materials<o:p></o:p></span></p>
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<b><span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">Special Instructions to Applicants:</span></b><span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555"> 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.<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">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@colorado.edu.<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">[Share]<br>
<br>
Job Description - Data Science Instructor & Course Developer (12230)<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">Job Description <o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">Data Science Instructor & Course Developer - 12230 <br>
Research Faculty Description<br>
<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">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.<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">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).<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">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.<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">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.<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">Duties<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">-Create data science content for Earth Analytics courses that will be posted online (see earthdatascience.org for example course content)<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">-Serve as primary instructor for at least one Earth Analytics course per semester<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">-Assist in pedagogical research and evaluation through administering course surveys, analyzing data, and publishing on findings<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">-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<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555"> <o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555"> Qualifications<br>
<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">Minimum Qualifications:<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">-Master’s degree in science with strong data-intensive component from an accredited university<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">-Demonstrated teaching experience<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">-Atleast 2 years of experience working with large, heterogeneous, spatio-temporal scientific and other related datasets using GUI and non-GUI based tools<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">-Demonstrated proficiency in scientific programming, specifically Python<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">-Demonstrated working knowledge of Git and Github<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555"> <o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555"> <o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">Preferred Qualifications:<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">-2-5 years of professional experience in the field of technology or science<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">-2-5 years of experience teaching and/or developing courses or workshops at the university level (could include experience gained during graduate studies)<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">-Demonstrated experience working with spatial and remote sensing data<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">-Demonstrated experience working with data in R<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">-Demonstrated working knowledge of containerized workflows (e.g. Docker)<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">-Demonstrated working knowledge of cloud computing (e.g. Amazon Web Services)<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">-Demonstrated experience creating and teaching online courses<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">-Interest in pursuing research in the realm of data-intensive teaching approaches (pedagogy)<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555"> -Experience with collaborative workflows and tools (e.g. Google suite, Slack, etc.)<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555"> <o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">Preferred qualifications may be used to further reduce the pool of applicants to those who are most highly qualified.<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555"> <o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">What we can offer:<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">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. <o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555"> <br>
<br>
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@colorado.edu. <o:p></o:p></span></p>
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<b><span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">Application Materials Required:</span></b><span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555"> Cover Letter, Resume/CV, Reference Letters (Not Confidential),
Unofficial transcript(s)<o:p></o:p></span></p>
<p class="MsoNormal" style="line-height:18.0pt;background:#FBFBFB"><b><span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555">Application Materials Instructions:</span></b><span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#555555"> 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.<o:p></o:p></span></p>
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