Research Project Manager - Stanford Law School
- United States of America
An empirical research project manager is needed to assist Principal Investigator and Stanford Law School faculty member John Donohue (J.D. from Harvard Law School, Ph.D. in economics from Yale and Research Associate, National Bureau of Economic Research) with the implementation of an impact evaluation study, which will likely include both a randomized experiment and a quasi-experimental component. The study aims to understand the causal effect of the Collaborative Defense Model on the uptake of public benefits and community-based services by clients using the services of the Los Angeles County Public Defender’s Office. This research is being conducted in collaboration with the national nonprofit organization Partners for Justice. Time allowing, the research manager will also be permitted to pursue independent research projects and participate in the vibrant empirical research community at both the law school and across Stanford University.
Full-time preferred (part-time possible), starting Fall 2023. The position will last for two years.
Job responsibilities will involve day-to-day management of the research project, including:
- Ensuring informed consent is properly obtained from participants and managing all other aspects of Institutional Review Board protocol
- Organizing assignment of participants to treatment and control status in collaboration with external nonprofit and government partners
- Obtaining and cleaning administrative data
- Analyzing experimental results
- Monitoring and mitigating threats to identification, including non-compliance and attrition
- Building and maintaining relationships with external partners
- Preparing manuscripts
- Managing the budget
- A Ph.D. in a quantitative discipline (e.g. economics, political science, sociology, public policy, statistics, or applied math) earned within the last three years is strongly preferred, but those with substantial experience conducting large randomized experiments and an undergraduate or master’s degree in a related field will also be considered.
- Familiarity with randomized control trial design and implementation
- Track record of productive research
- Strong understanding of causal inference/econometrics
- Programming experience in R, Stata, or Python
- Prior research experience and coursework in the empirical social sciences
The first-round deadline for applying will be Monday, September 25 at 9:00am. Please apply via Stanford’s Career site https://careersearch.stanford.edu/ [Reference Job Number: 100488].
The expected pay for this position is $64,480 - $71,650 per annum.
Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package.
The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.*Note: The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job.
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