Chapin Hall at the University of Chicago · 2 days ago
Researcher (Data Science/Engineer)
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Responsibilities
Uses R, Python, VBA, SQL/PostgreSQL, STATA, SAS, and/or other appropriate analytic software programs to independently convert, merge, and assemble large-scale administrative data that often need to be cleaned for analysis for multiple projects.
Develops and maintains programming codes that transform administrative data into analyzable formats and/or that can be utilized for data analysis, with a strong emphasis on generalizability and transparency.
Automates existing and emerging processes for importing, documenting, integrating, and updating data as well as to coding best practices such as code review and version control, using GitHub and updating existing data dictionaries Chapin Hall maintains.
Provides details regarding data usage to researchers and other DCFS university partners.
Performs modeling and complex statistical analyses under supervision.
Participates in discussions regarding study design and methods. Assists in developing study objectives, and designing sampling, randomization, and data collection procedures to achieve study objectives.
Writes sections of research results for funders and/or publications, and assists with report production activities, including proofing, formatting and creating tables and graphs.
Participates in meetings with external stakeholders and may present findings at meetings and/or conferences.
Performs additional duties as assigned.
Qualification
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Required
A master’s degree in data science, biostatistics, computer science, econometrics, statistics, or social science/policy with significant advanced coursework in statistics and programming plus a minimum of three years of relevant experience in applied research using administrative data.
Minimum of three years’ experience working with large-scale administrative datasets and data systems in public sector, and/or related work.
Professional experience with R, Python, VBA, SQL/PostgreSQL, STATA, SAS and/or other appropriate program languages, preferably experience working in a Unix/Linux environment.
Strong interest in and aptitude for data cleaning, quality check, diagnosis of inconsistencies/accuracy of large-scale administrative data, and further development of analytic skills.
Strong background in statistical methodology.
Demonstrated capacity for taking initiative, problem-solving, and working in a collaborative research environment.
Ability to manage multiple, concurrent tasks.
Strong attention to detail with good organization and communication skills.
Ability to translate and convey complex concepts and study findings in oral and written communications.
Ability to work independently with a high degree of initiative.
Demonstrated judgment and discretion in the handling of sensitive information.
Company
Chapin Hall at the University of Chicago
Chapin Hall at the University of Chicago has, since its inception in 1985 as a research and policy center, focused on a mission of improving the well-being of children and youth, families, and their communities.