Research Technician - Precision Analytics

University of Chicago • Chicago, IL

3d • $22 - $29

About The Position

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.

Requirements

• Minimum requirements include vocational training, apprenticeships or the equivalent experience in related field (not typically required to have a four-year degree).
• Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
• Strong analytical and problem-solving skills.
• Ability to communicate complex findings in accessible ways.
• Detail-oriented with a commitment to data accuracy and quality.
• Strong Analytical skills.
• Problem-solving skills.
• Organizational skills.
• Verbal and written communication skills.
• Ability to work independently and as part of a team.

Nice To Haves

• 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.
• Experience working with research or program evaluation data strongly preferred.

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.

Benefits

• The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook .

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees