Job Description

Salary: $90,000 - 104,000 per year Requirements:

• Bachelors degree in a related quantitative or health field, such as social sciences, public health, statistics, biostatistics, health informatics, mathematics, data science, or computer science; an advanced degree is preferred.
• At least four years of progressively responsible experience working with large datasets and statistical or analytical programming.
• Advanced SAS programming proficiency, including experience with SAS macros.
• Proficiency in data management and processing, with a strong foundation in statistics, mathematics, and data science.
• Strong problem-solving and quantitative analysis skills, and the ability to organize and prioritize work to meet project needs.
• Strong interpersonal, critical reasoning, written and verbal communication, technical writing, and data visualization and presentation skills; ability to explain technical approaches to others.
• Proficiency with Microsoft Office.
• Experience with R or Python is welcome but not essential. Familiarity with SQL, Tableau, Hadoop, Hive, MapReduce, or other statistical packages and large-scale data systems is also welcome.
• Experience with healthcare or administrative claims data is strongly preferred.
• Must be eligible to work in the United States; visa sponsorship is not available.
• Submit a resume and cover letter; professional references may be requested.

• Collect, clean, transform, validate, standardize, and harmonize data from multiple sources, including hospital discharge data.
• Identify trends, patterns, and data quality issues, and share findings and recommendations with project teams and stakeholders.
• Develop reports, dashboards, tables, charts, and other visualizations.
• Create, document, manage, and maintain databases, data systems, and data dictionaries.
• Support data storage optimization and data management processes.
• Work with research teams, project leaders, and clients to understand analytical needs and advance project goals.
• Contribute to proposal development, including drafting technical and analytical sections.
• Support research, analytics, and data-informed decision-making by collecting, managing, analyzing, and interpreting data.

• Hadoop
• Hive
• Support
• Python
• SAS
• SQL
• Tableau

More:

We are NORC at the University of Chicago, an objective, nonpartisan research institution that provides reliable data and rigorous analysis to inform programmatic, business, and policy decisions. Our Health Sciences Research team works across areas including child development, healthy aging, electronic clinical data, and health information technology, with expertise in data acquisition, management, technical assistance, analysis, surveys, and biomeasure collection. We foster scientific integrity, innovation, collaboration, collegiality, and continuous learning. This regular Data Scientist I position is hybrid, based in our Chicago Loop or downtown Washington, DC office, with at least six office days per month; exceptional remote candidates may also be considered. The salary range is $90,000–$104,000, with placement dependent on qualifications and organizational needs. Eligible staff receive comprehensive benefits, including subsidized health insurance, dental and vision coverage, retirement programs, life and disability insurance, paid time off, holidays, parental and bereavement leave, tuition assistance, and an Employee Assistance Program. We are an equal opportunity employer.

last updated 40 week of 2026

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