Undergraduate Research Assistant
The Stanford VMware Women’s Leadership Innovation Lab is a research center that combines cutting-edge academic research and real-world practice to create research-based strategies and innovative programming to increase the number of women leaders in technology, education, government, and a variety of other industries. Our mission is to transform the landscape of leadership by moving women into leadership roles where they can bring new perspectives on how to address the world’s challenges. We strive for our research to be both inclusive and intersectional. In our work, we consider not only gender, but other salient social identities like race, ethnicity, age, socioeconomic status, ability, sexual orientation, and nationality. We emphasize that pathways to leadership cannot be understood in the absence of an intersectional lens on the world’s power structures.
The Lab team is currently seeking part-time Undergraduate Research Assistants (URA) to work on various research and administrative tasks crucial for our work at the Lab. The commitment is (at most) 20 hours a week and can be remote.
Our lab operates on collaboration and team-based research – including research scholars, program managers, students, postdoctoral fellows, and faculty at other institutions. We have several administrative and research projects underway. Some of the responsibilities include:
- Contribute to annotated bibliographies (e.g., remote work, intersectionality, research methods)
- Work with the researchers on data and project management processes
- Data collection (qualitative and quantitative)
- Archival research
- Qualitative data cleaning
- Quantitative data analysis
- Copy editing, graphic design, and other administrative tasks as needed
The URA will work closely with Lab scholars and doctoral students. Weekly check-in meetings are expected. All work will be done remotely. Any Stanford undergraduate student is welcome to apply. Co-terms are ineligible.
- Strong communication, planning, and time management skills
- Detail-oriented and the ability to manage information in an organized manner
Preferred but not required:
- Familiarity with Excel, R, Python, and/or Stata (to access and manage data)
- Familiarity with writing about how data or information were collected, organized, and stored
- Familiarity with survey data analysis.
- Coursework in the areas of race, ethnicity, gender, and research methods
- Experience with design of information (infographics)
- Be enrolled as a Stanford undergraduate student. Co-terms ineligible.
Time Period and Hours
Position begins at the discretion of the supervisor and some projects may move across the school year.
Those interested should fill out the following form (including uploading their resume and coursework summary). Any questions should be directed to research scholar, Dr. Melissa Abad at mabad2 @ stanford.edu