Quantitative Research Associate
The Program on Energy and Sustainable Development (PESD) at the Freeman Spogli Institute for International Studies studies global energy markets and their impact on environmental quality and human welfare. Our comparative advantage is the study of feasible policy and regulatory leverage points for change. PESD has a three-fold mission of research, teaching, and policy outreach.
PESD seeks a Quantitative Research Associate to work with the Program Director and other Research Associates on quantitative scholarly work on energy and environmental issues. Job tasks include statistical and econometric analysis, mathematical programming (linear and nonlinear), stochastic simulation modeling, and writing technical research papers and policy briefs.
Manage and analyze large amounts of information, typically technical or scientific in nature, under the direction of project researchers, investigators, or managers.
- Collect, manage and clean datasets.
- Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.
- Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.
- Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
- Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.
- Analyze data processes in documentation.
- Collaborate with faculty and research staff on data collection and analysis methods.
- Provide documentation based on audit and reporting criteria to investigators and research staff.
- Communicate with government officials, grant agencies and industry representatives.
* - Other duties may also be assigned
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.
- Advanced degree in technical discipline preferred.
Knowledge, Skills and Abilities:
- Substantial experience with MS Office and analytical programs.
- Strong writing and analytical skills.
- Ability to prioritize workload.
Certifications and Licenses:
- Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
- Occasionally use a telephone.
- Rarely writing by hand.
* - 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.
- Some work may be performed in a laboratory or field setting.
- Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
- Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
- Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu.
FOR CONSIDERATION, PLEASE SUBMIT RESUME AND COVER LETTER.
A BACKGROUND CHECK IS REQUIRED OF ALL FINAL CANDIDATES.
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.