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information, please see:
https://illinoisjoblink.illinois.gov/jobs/12614537 Department
UL Crime Ed Lab Data Analytics
About the Department
Who We Are
In cities across the country, people face high rates of gun violence,
under-resourced schools, and social harms associated with the criminal
justice system -- all of which disproportionately impact people of
color. These inequalities have profound consequences on public safety
and opportunity. As a society we have failed to address these
challenges, in part, because of our lack of understanding of the most
effective and cost-effective solutions that can have a real impact on
people\'s lives. We believe that rigorous research can help.
The University of Chicago Crime Lab and Education Lab partner with
cities and communities to use data and rigorous research to design,
test, and scale programs and policies that enhance public safety,
improve educational outcomes, and advance justice. Our mission is to
combine world-class data science and research, in partnership with
government agencies, to substantially improve the effectiveness of the
public sector and achieve impact at scale.
To learn more about the Crime Lab and Education Lab, visit
https://urbanlabs.uchicago.edu/labs/crime.
The Role
The University of Chicago Crime Lab and Education Lab are seeking a
Project Associate with strong technical skills to work on large-scale
social policy research projects designed to reduce crime and improve
educational outcomes. The analyst will work on a portfolio of projects
across a variety of areas that span both criminal justice and education.
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 from the Chicago office.
Job Summary
The job performs a broad range of operational business activities to
support the statistical design and implementation of research analysis.
Uses knowledge of statistics to communicate analyses for research
proposals and draft reports detailing their results. Follows objectives
and procedures for sampling, randomization, data collection, analysis,
and quality control.
Responsibilities
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 for a variety
of research projects.
Prepares results for memos, spreadsheets, and presentations
targeting both policymakers and academics.
Assists with the coordination of research activities, communications
with partner agencies, and managing project deliverables.
Conducts thorough and critical reviews of relevant literature.
Analyzes data and prepares tables for interim and final reports.
Designs tables and statistical procedures for specific research
studies.
Maintains collaboration with other research support personnel,
including analysts and programmers in monitoring and assessing data
quality.
Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related
field.
Work Experience:
Minimum requirements include knowledge and skills developed through
Certifications:
Preferred Qualifications
Education:
Bachelor\'s degree in economics, sociology, public policy,
statistics, or a closely related field.
Experience:
Experience working with a statistical programming language. R or
Python strongly preferred.
Some relevant research experience. Experience gained in school
counts towards requirement.
Experience working with large and complex datasets.
Experience working on field experiments.
Familiarity with randomized controlled trials.
Preferred Competencies
Strong interest in data analysis.
Strong interest in social policy, especially crime and education
policy.
Background in applied statistics and modeling.
Ability to manage multiple projects simultaneously and meet tight
deadlines.
Excellent organizational skills and attention to detail.
Ability to work both independently and as a team member.
Ability to work discretely with sensitive and confidential data.
Application Documents
Resume (Required)
Cover Letter (Required)
Optionally, you may submit a code sample demonstrating your proficiency
in analytic programming. You may submit either a link to a public GitHub
repository or a text file
