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Barnard College
New York, New York, United States • On-site
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The Graduate Assistant will ideate, organize, and execute educational programming, including workshops, talks, and hackathons to enhance digital literacy. They will also monitor program activities by collecting and analyzing data to contribute to reporting and documentation.
Candidates must be currently enrolled in a graduate-level program in education, computer science, or a related field. Proficiency in at least one coding language and a solid foundation in pedagogical theories and practices are required.
Barnard's Vagelos Computational Science Center (CSC) is seeking a motivated Graduate Assistant to support the educational programming operations of the center to enhance the center’s mission. The CSC is committed to improving computational skills and digital literacy across disciplines and aims to lower barriers to entry into computing for the Barnard community and beyond. We have many programs to support this, including our open workshop series, yearly involvement in NYC Open Data Week, Computing Fellows program, grant competitions, public interest technology initiatives and more.
This role requires a candidate who thrives working independently and has strong organizational, research, and communication skills. A solid background in computing and pedagogy is required.
The Graduate Assistant will play a key role in the continued development of CSC educational initiatives, working closely with the Senior Associate Director to ideate, organize, and help execute open workshop programming, specialized initiatives, talks and symposia. They will think outside the box to make computational learning accessible and exciting, and focus on creating engaging learning experiences for the Barnard community.
The graduate assistant should have an intermediate-to-advanced knowledge of at least one coding language, experience teaching with code, an interest in pedagogy, and most importantly, a strong willingness to learn.
Primary Responsibilities:
Ideating, organizing and executing on educational programming for the Center, including talks, workshops, hackathons, roundtable discussions and more
Monitoring program activities, including collecting data, analyzing outcomes, and contributing to documentation and reporting
Thinking creatively and critically around topics in computational science
Collaborating with CSC Staff as a team player
Creating, promoting, and disseminating information related to events, workshops, and resources within the Barnard/Columbia community
Knowledge, skills:
Strong understanding of computing and technology, combined with a solid foundation in pedagogical theories and practices
Excellent communication and interpersonal skills for effective collaboration
Experience in academic settings, particularly in teaching or coordinating educational initiatives
Exceptional organizational skills, with the ability to manage multiple projects and coordinate diverse stakeholders
Intermediate to advanced knowledge of at least one coding language
Ability to collect and analyze quantitative and qualitative data related to CSC events and programs
Creative and driven to achieve results
Desired:
Proficiency in Adobe Creative Suite and Canva, with experience in design and content creation
Position Requirements:
In-person presence for meetings and events as needed
Ability to work independently and as part of a team
Strong organization skills and attention to detail
Strong communication and interpersonal skills
Knowledge of and willingness to use Google Drive platforms
Experience in computer science, STEM, or a related field
To Qualify:
Must be currently enrolled in a graduate-level program in education, computer science, or a related field.
Compensation: $33/hr.; 8-10 hours a week on average
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the College's good faith and reasonable estimate of the range of possible compensation at the time of posting.
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