Research Technician - Precision Analytics

Research Technician - Precision Analytics

Join to apply for the Research Technician - Precision Analytics role at University of Chicago

This range is provided by University of Chicago. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$21.63/yr - $28.85/yr

BSD PSY - Lyons Lab

To transform mental health through compassionate, innovative interdisciplinary care, pioneering research, and the education of future leaders dedicated to advancing the wellbeing of individuals, families, and their communities.

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.

• 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.
• Calibrate data between large and complex research and administrative datasets. Guide and may set operational protocols for collecting and analyzing information from the University’s various internal data systems as well as from external sources.
• Design and evaluate statistical models and reproducible data processing pipelines using best practices in machine learning and statistical inference.
• Provide expertise for high‑level or complex data‑related requests and engage other IT resources as needed.
• Analyze moderately complex data sets for the purpose of extracting and purposefully using applicable information.
• Provide 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.
• Provide technical and administrative support for a research project.
• Collect and enter data. Assist in analyzing data. Assist with preparation of reports, manuscripts and other documents.
• Assist with the installation, set up and perform experiments; interacting with students and other laboratory staff under the direction of the principal investigator.
• Perform other related work as needed.

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.

• 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.

• 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.

• Resume (required)
• Cover Letter (required)

When applying, the documents MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.

Research

Individual Contributor

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