Apply as a Faculty Research Analyst in University of Pennsylvania

The Wharton School of the University of Pennsylvania is inviting applications for a faculty research analyst. The successful candidate will support research by Professors Arthur van Benthem, Susanna Berkouwer, Benjamin Lockwood, Corinne Low, Judd Kessler, and Alex Rees-Jones. Topics energy and the environment and/or development economics (van Benthem, Berkouwer); public and behavioral economics (Lockwood, Rees-Jones); labor, gender, and experimental economics (Low, Kessler). There are several open positions.

The successful candidate would work in this position for 2 years, before going on to graduate programs or careers in Economics, Public Policy, or another quantitative social science. The annual salary rate is $43,919 – $58,000.

Examples of recent projects include:

Berkouwer and van Benthem: efficiency losses from imperfect environmental policies, energy efficiency adoption, carbon offsets, infrastructure construction, land protection and biodiversity, and hurricane insurance.
Rees-Jones and Lockwood: evaluating the merits of state-run lotteries, using wealth taxes to reduce inequality, studying strategies to reduce tax evasion, assessing the role of tax complexity, conducting welfare analysis that incorporates behavioral biases, and assessing the promise of new mechanisms for matching students to schools.
Low and Kessler: Studying the impact of grade-optional policies, running experiments to measure hiring bias among employers, examining changes in women’s labor force participation over time, studying the unequal division of home production within the household, and studying mechanisms to reduce hiring bias.

Roles/Responsibilities

Performing a variety of statistical and econometric analyses
Cleaning and analyzing data, writing research reports C
onducting background research and literature reviews
Identifying and obtaining secondary data
Coding survey questionnaires
Managing field activities

Eligibility

BA/BS in Economics, Statistics, or a related quantitative discipline;
Previous experience as a research analyst or conducting independent research using statistical software such as STATA or R is preferred;
Ability to analyze data and write reports;
Self-directed, intrinsically motivated; capacity to manage work independently and organize workflows across multiple projects.