The University of Chicago Department of Surgery is looking for a data professional to support their research efforts by collecting, organizing, and analyzing information from internal and external data systems, focusing on surgical health services and implementation outcomes research.
Requirements
- Proficiency in statistical software (e.g., R, SAS, or Stata) and data management tools.
- Familiarity with working with large clinical datasets or national registries (e.g., NSQIP).
- Strong understanding of clinical research principles and methodology.
- Familiarity with health services research or outcomes-focused studies.
- Knowledge of database query languages (e.g., SQL).
- Builds and analyzes statistical models and reproducible data processing pipelines using knowledge of best practices in machine learning and statistical inference.
Responsibilities
- Conducts statistical analysis to support surgical outcomes and health services research.
- Manages and analyzes large national datasets, including NSQIP and ILIANA.
- Oversees and guides resident and fellow-led research projects by providing data support and analytic mentorship.
- Collaborates with study investigators to design analytic plans and interpret results.
- Maintains organized, reproducible code and data management workflows.
- Serves as the dedicated research data resource for multiple projects across varying stages of development.
- Develops and maintains research databases, ensuring data integrity and compliance.
Other
- Minimum requirements include a college or university degree in related field.
- Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
- Experience mentoring or supporting trainee research (e.g., residents, fellows).
- Prior experience working in an academic medical center or research institute setting.
- Excellent organizational skills and ability to manage multiple projects simultaneously.
