JOE Listings (Job Openings for Economists)

February 1, 2020 - July 31, 2020

Princeton University

Research Software Engineer

JOE ID Number: 2020-01_111464637
Date Posted: 02/01/2020
Position Title/Short Description
Title: Research Software Engineer
Section: US: Other Academic (Visiting or Temporary)
Location: Princeton, New Jersey, UNITED STATES
JEL Classifications:
A1 -- General Economics
B4 -- Economic Methodology
B5 -- Current Heterodox Approaches
D7 -- Analysis of Collective Decision-Making
D8 -- Information, Knowledge, and Uncertainty
F5 -- International Relations, National Security, and International Political Economy
F6 -- Economic Impacts of Globalization
H1 -- Structure and Scope of Government
I2 -- Education and Research Institutions
J1 -- Demographic Economics
K1 -- Basic Areas of Law
L1 -- Market Structure, Firm Strategy, and Market Performance
L3 -- Nonprofit Organizations and Public Enterprise
N9 -- Regional and Urban History
O1 -- Economic Development
Y1 -- Data: Tables and Charts
Full Text of JOE Listing:

The Initiative for Data-Driven Social Science (DDSS) at Princeton University invites applications for a Research Software Engineer to provide computational and software development and design expertise to data-intensive social science research projects. Working closely with social science faculty across campus, the position is responsible for designing and building solutions to the challenges inherent in conducting data-intensive research.

This person will have the opportunity to help shape the development of this new initiative’s strategic vision, long- and short-term agenda, and research infrastructure.

DDSS is devoted to supporting innovative uses of data in the social sciences.
This is a two-year term position with the possibility of renewal based on performance and funding. Term end date dependent upon start date.

Required: A bachelor’s degree in a social science field, computer science, mathematics, statistics, or related computational field. Excellent programming skills in at least two programming languages (Python, R, C/C++, Stata, or other languages used in social science research). Experience translating research into stable, adaptable, and documented code, background in statistics, machine learning, data analysis, database management, and/or visualization, knowledgeable of software development best practices, workflow, and version control.

Application Requirements:
  • External Application Link
Application deadline: 07/31/2020