Research Data Analyst 1
Research Data Analyst 1
Job Number: 76029
Research Data Analyst Stanford Opportunity Lab focuses on a broad range of topics in applied microeconomics with applications to economic policy.
JOB PURPOSE: We are looking to hire several full-time research data analysts (RDAs) for the academic year 2018-19 to work with our research group on the Equality of Opportunity Project. The overarching mission of the project is to develop scalable policy solutions that will empower families throughout the United States to rise out of poverty and achieve better life outcomes. We pursue this mission primarily by conducting rigorous, scientific research that harnesses the power of “big data” using an interdisciplinary approach. Current projects study the long-term impacts of neighborhoods, the role of colleges as a pathway to upward mobility, the determinants of innovation and entrepreneurship, and how social networks may affect poverty. The research uses “big data” and quasi-experimental methods to identify causal effects and test the predictions of economic and sociological models. Recent results from these projects have appeared in the New York Times and have been cited in the President's State of the Union address.
We anticipate positions available in Stanford CA, Cambridge MA, Providence RI, and Washington D.C. under the direction of Professors Chetty, Friedman, and Hendren. The work will include a variety of tasks that provides preparation for graduate school, such as analyzing data, developing statistical models, creating presentations, and editing research papers. In addition to working with faculty as research assistants, the RDAs frequently co-author papers with other students or faculty members. RDAs will interact regularly with professors and their collaborators - such as David Deming, Matthew Jackson, and Emmanuel Saez -in a team-oriented lab environment, with weekly lab meetings and other informal events. The program serves as an ideal bridge between college and graduate school for students interested in empirical economics. Most RDAs have gone on to top Ph.D. programs. Salary will be competitive.
To apply, complete application here and follow link to upload your cover letter (optional), resume, transcripts, and a writing sample through the Stanford Opportunity Lab's online form.
Hires will be made for a TWO-YEAR, fixed term position renewable contingent on funding and programmatic need.
Background check will be required for all final candidates. MINIMUM REQUIREMENTS:
Education & Experience: Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills and Abilities:
- Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
- Occasionally use a telephone.
- Rarely writing by hand.
WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. WORK STANDARDS:
Stanford University, located between San Francisco and San Jose in the heart of California's Silicon Valley, is one of the world's leading teaching and research universities. Since its opening in 1891, Stanford has been dedicated to finding solutions to big challenges and to preparing students for leadership in a complex world.
Supporting that mission is a staff of more than 10,000, which is rooted in a culture of excellence and values innovation, collaboration, and life-long learning. To foster the talents and aspirations of our staff, Stanford offers career development programs, competitive pay that reflects market trends and benefits that increase financial stability and promote healthy, fulfilling lives. An award-winning employer, Stanford offers an exceptional setting for professionals looking to advance their careers.
Location: Dean of Research
To be considered for this position please visit our web site and apply on line at the following link: stanfordcareers.stanford.edu
Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.