Human Resources

Instructional Technology Services

Instructional Technologist for Quantitative Applications

Founded in 1908 in Portland, Oregon, Reed College is one of the country's leading liberal arts colleges, providing an intellectually rigorous undergraduate experience. Reed College is devoted to the intrinsic value of intellectual pursuit and is governed by the highest standards of scholarly practice, critical thought, and creativity. The goal of the Reed education is that students learn and demonstrate rigor and independence in their habits of thought, inquiry, and expression. Reed College values cultural diversity and intellectual pluralism as critical components of academic excellence. We seek a dynamic Instructional Technologist for Quantitative Applications to join our institution.

Position Summary
The Instructional Technologist for Quantitative Applications collaborates with faculty, students, Computing & Information Services staff, and library staff to select, create, and effectively use quantitative technologies in support of teaching and learning, with a particular emphasis on the visualization and presentation of data. She/he consults with faculty to understand their needs and to assess the outcomes of using specific technologies. She/he works closely with other Computing & Information Services staff to customize and test instructional tools and plays a major role in providing documentation and training for these tools.

This is a half-time, exempt, grant-funded, four-year position, working 18.75 hours per week. Reed College offers an excellent benefits package that includes comprehensive medical and dental insurance, 403(b) retirement plan with 10% employer contribution, paid holidays, paid vacation and sick days, and other benefits, such as access to the campus fitness center.

Essential Functions

  • Provide support for faculty and students in the selection and use of software for data visualization, data presentation, geospatial and statistical analysis, mathematical calculations, graphing, modeling, and other quantitative tools.
  • Proactively communicate with faculty who use quantitative technologies to make them aware of existing and emerging technological resources.
  • Provide hands-on instruction and training workshops for faculty and students who use quantitative technologies.
  • Develop and maintain documentation in support of instructional technologies.
  • Maintain currency on the uses of quantitative analysis technology in teaching and learning by developing key contacts at professional organizations and other schools, tracking current literature, and learning and evaluating emerging technologies.

Education and Experience Required

  • Bachelor's degree in a social or natural science discipline, mathematics, engineering, or a related field
  • Experience with academic technologies, especially in the area of data visualization and presentation, on Macintosh, Windows, and mobile platforms; or any combination of experience and education which provides the applicant with the necessary skills, knowledge, and ability required to perform the work.
  • An advanced degree and experience in teaching at the postsecondary level are preferred.

Knowledge, Skills and Abilities Required

  • Outstanding oral and written communication skills and the ability to convey technical concepts to non-technically oriented individuals.
  • Exceptional skill at maintaining positive working relationships with co-workers, faculty members, and others.
  • Excellent organizational and problem-solving skills.
  • Strong service orientation.
  • Ability and desire to keep skills and knowledge current in a rapidly changing environment.

To Apply
Applicants should email a cover letter, resume, and a completed Reed Employment Application to Applications will be considered as they are submitted; priority will be given to applications received before January 24, 2014.

Reed College values cultural diversity and intellectual pluralism as critical components of academic excellence.  We welcome applications from members of historically underrepresented minority groups, persons with disabilities, and others who would bring additional dimensions of experience to our community.

Deadline: Open until filled