Instructional Technologist

Summary

Job Description Summary:

GW Libraries and Academic Innovation (GWLAI) enriches the academic experience of scholars and students and sparks innovation at GW. Our people, programs, partnerships, and services enable research and teaching through access to the latest scholarship as well as rich archival resources; tailored support for researchers at all levels; guidance for faculty who want to explore new teaching methods and technologies in the classroom; and robust support for online education. Through innovative partnerships, dynamic workshops, and team-based approaches to project management and problem solving, GWLAI fosters collaboration and provides leadership across the university to support the shared mission of generating, making accessible, and preserving new knowledge.

Instructional Technologists at GWLAI collaborate with faculty, students, and partners on and off campus to achieve GW’s aspirations to excellence as a comprehensive global research university. They offer workshops and consultations in relevant areas of expertise. Successful candidates will demonstrate a collaborative spirit; a commitment to diversity, equity, inclusion, and belonging; creativity, flexibility, and a willingness to contribute to the core missions of research and education while exercising technical expertise in a particular area of practice.

Primary Job Responsibilities:

  • Provide support for GW researchers on topics of R, data analysis, and statistical analysis through consultations, workshops, and participation in research teams
  • Create web content and how-to’s to support researchers using tools such as R Studio, SAS, SPSS and STATA
  • Coordinate scheduling and logistics to support GWLAI’s workshops, Python Camp, and Carpenties events
  • Lead project teams and take responsibility for planning, communication and stakeholder engagement
  • Serve as an active participant in GWLAI teams and projects across campus

This position reports to the Director of Scholarly Technology.

Performs other related duties as assigned. The omission of specific duties does not preclude the supervisor from assigning duties that are logically related to the position.

Qualifications

Minimum Qualifications:

Qualified candidates will hold a Bachelor’s degree in an appropriate area of specialization plus 2 years of relevant professional experience, or, a Master’s degree or higher in a relevant area of study. Degree must be conferred by the start date of the position. Degree requirements may be substituted with an equivalent combination of education, training and experience.

Preferred Qualifications:

 

  • Demonstrated experience with either R or using Python for data analysis.
  • Experience contributing to academic research projects either as an individual or part of a research team


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