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Research Software Engineer

Employer
American Economic Association
Location
Princeton, NJ
Closing date
Sep 15, 2021

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Sector
Science, Physical Sciences and Engineering
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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

Status Update: Position is no longer available

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
  • Apply for This Job (link)
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