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Research Technician - Precision Analytics

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: The University Of Chicago
Per diem position
Listed on 2025-12-06
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst
  • Research/Development
    Data Scientist
Job Description & How to Apply Below
** Department
* * BSD PSY - Lyons Lab
** About the Department
** To transform mental health through compassionate, innovative interdisciplinary care, pioneering research, and the education of future leaders dedicated to advancing the well-being of individuals, families, and their communities.
** Job Summary
** The Research Technician supports the organization’s data and analytics work by collecting, analyzing, and interpreting data to inform decision-making, program improvement, and research. This role helps ensure that data is accurate, accessible, and actionable for staff, partners, and stakeholders.
** Responsibilities
* ** Collect, clean, and organize data from multiple sources.
* Conduct analyses using statistical and computational methods.
* Develop data visualizations, dashboards, and reports to share findings.
* Collaborate with program, training, and operations teams to apply data insights to projects.
* Ensure data quality, security, and integrity across systems.
* Contribute to cross-team initiatives by embedding data-informed practices.
* Develop and code data dictionaries for discrete data.
* Write, implement, and develop efficient code and machine learning tools and pipelines for data processing and analysis.
* Work with collaborators to implement emerging external computational tools for program data.
* Develop training material.
* Keep lab's knowledge-based trainings up to date.
* Calibrates data between large and complex research and administrative datasets. Guides and may set the operational protocols for collecting and analyzing information from the University's various internal data systems as well as from external sources.
* Designs and evaluates statistical models and reproducible data processing pipelines using expertise of best practices in machine learning and statistical inference.
* Provides expertise for high level or complex data-related requests and engages other IT resources as needed.
* Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information.
* Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming, analysis and modeling.
* Provides technical and administrative support for a research project.
* Collects and enters data. Assists in analyzing data. Assists with preparation of reports, manuscripts and other documents.
* Assists with the installation, sets up and performs experiments; interacting with students and other laboratory staff under the direction of the principal investigator.
* Performs other related work as needed.
** Minimum Qualifications
***
* Education:

** Minimum requirements include vocational training, apprenticeships or the equivalent experience in related field (not typically required to have a four-year degree).
*
* Work Experience:

** Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
*
* Certifications:

****--
- **** Preferred Qualifications
***
* Experience:

*** Proficiency in Microsoft Office 365.
* Proficiency in Python, R, SQL, or other statistical programming languages.
* Experience with data visualization platforms such as Tableau or Power BI.
** Preferred Competencies
*** Strong analytical and problem-solving skills.
* Ability to communicate complex findings in accessible ways.
* Detail-oriented with a commitment to data accuracy and quality.
* Experience working with research or program evaluation data strongly preferred.
* Strong Analytical skills.
* Problem-solving skills.
* Organizational skills.
* Verbal and written communication skills.
* Ability to work independently and as part of a team.
** Application Documents
*** Resume (required)
* Cover Letter (required)
When applying, the document(s)
** MUST
* * be uploaded via the
** My Experience
** page, in the section titled
** Application Documents
** of the application.
** Job Family
** Research
* * Role Impact
** Individual Contributor
** Scheduled*
* ** Weekly Hours
** 40
* * Drug Test Required
** No
* * Health Screen Required
** No
* * Motor Vehicle Record Inquiry Required
** No
* * Pay Rate…
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