The University of Chicago's Energy & Environment Lab is seeking a Project Associate with strong technical skills to support a portfolio of research projects designed to evaluate the effectiveness and impact of promising energy and environmental interventions. This position requires an individual who is able to work as a part of small research teams running multiple projects concurrently. The position offers the opportunity to work directly with leading social policy researchers at the University of Chicago and government agency staff, as well as an experienced team of data scientists, administrative staff, and project managers.
Assists the data and analytics team with data collection, management, and analysis. Responsibilities include documenting incoming data, preparing files for analysis, matching, sampling, conducting randomization across multiple projects.
Contributes to building traditional statistical models and machine learning algorithms for a variety of research projects.
Prepares results for memos, spreadsheets, and presentations targeting both policymakers and academic audiences.
Assists in writing grant proposals, prepares human subjects protocols and amendments for IRB.
Conducts thorough and critical reviews of relevant literature.
Other duties as assigned.
Strong interest in energy and environment issues required.
Strong background in applied statistics & modeling required.
Strong written and verbal communication skills required.
Ability to manage multiple projects simultaneously and meet tight deadlines required.
Excellent organizational skills and attention to detail required.
Ability to work both independently and as a team member required.
Ability to work discreetly with sensitive and confidential data required.
Education, Experience or Certifications:
Bachelor's degree in economics, statistics, sociology, public policy or other relevant social/mathematical science field required.
Coursework in econometrics and/or mathematical statistics required.
A minimum of one year of relevant research experience required. Experience gained in school counts towards requirement.
Experience working with Stata, SAS, R, Python or other programming languages required.
Experience working with large and complex datasets strongly preferred.
Experience working on field experiments preferred.
Experience working with spatial data and/or GIS preferred.
Experience working with UNIX servers preferred.
Familiarity with randomized controlled trials preferred.
Transcript (unofficial is ok)
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