Research Assistant – Statistical Analysis for the Evaluation of a Namibian Library System – Technology & Social Change Group – Autumn 2018


CORRECTION: This position is benefits eligible if the new employee starts on or before October 1st.

The Technology & Social Change Group (TASCHA) in the Information School seeks a graduate research assistant to support the statistical analysis of data for a project evaluating the impact of a new public library system in Namibia.

Specifically, the RA will perform the following activities:

  • Carry out statistical analysis under the direction of TASCHA researchers (40%)
  • Perform data cleaning and organization tasks as required (30%)
  • Contribute to report writing using analyzed data (25%)
  • Review research materials and provide consultation on statistical techniques to fit research goals (5%)

The ideal candidate will have both theoretical knowledge and experience in applied statistics and data visualization. The statistical analysis component will require proficiency in ANOVA and linear regression, as well as other statistical tests such as t-tests and Chi-square tests. Data preprocessing will involve transforming raw ODK-based survey data into a clean, usable data frame. Multiple surveys will need to be summarized with tables and graphs, with analysis results clearly articulated and visualized to include in a report. The RA will be working as part of a team and will also need to work independently.

This position will work up to a maximum of 20 Hours/Week.

Responsibilities may include some or all of the following duties:

Requirements:

  • Minimum 1 year relevant data analysis experience
  • Proficiency in R programming and scripting
  • Proficiency with ANOVA and linear regression, as well as other common statistical tests (e.g. t-tests, Chi-square tests)
  • Proficiency in data visualization using ggplot and/or Plotly
  • Familiarity with quantitative research methodologies
  • Familiarity with longitudinal data analysis
  • Strong communication and interpersonal skills, especially with less quantitative colleagues
  • Demonstrated success in delivering results and desired outcomes
  • Ability to work independently

Desirable Skills:

  • Proficiency in Python programming and scripting
  • Familiarity with field of ICT and development
  • Familiarity with qualitative research methodologies

This position is open to Masters or PhD students at the University of Washington.
Interviews will be conducted on a rolling basis upon receipt of application.

Pay:

This position is benefits eligible if the new employee starts on or before October 1st.

Questions regarding compensation should be directed to iSchool Human Resources at ihrhelp@uw.edu

Please submit all application materials no later than Sep 28, 2018 to ensure consideration.

Apply via the iSchool website: https://jobs.ischool.uw.edu/posting/273

All applicants will be contacted two weeks after the position closes.

The University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Please forward questions regarding your online application to iapply@uw.edu.

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