Statistician
The Statistician will support the CQI Statistics team by performing a variety of quantitative analytic functions. This role involves data management, quality assurance, and statistical analysis using various datasets and executing analytic plans under the guidance of senior staff:
- Providing statistical guidance.
- Evaluating data integrity.
- Constructing statistical models for predictive purposes.
- Reporting results in different formats appropriate for program leadership/staff, external stakeholders and research investigators.
This exempt level position will report to the Manager, Statistical Analysis/Senior Statistician II in the Division of Research and Optimal Patient Care. It is based in our Chicago office and is a hybrid role: 3 days per week in the office/2 days per week remote.
The anticipated salary range for this position is $75,000 - $85,000 (commensurate with related experience). Primary Responsibilities Statistical Analysis and Modeling:- Execute and define standardized analytic plans under supervision to support data analytics for assigned program.
- Support relevant classification methods and contribute to predictive and prognostic modeling, statistical learning methods, employing machine learning and data science techniques.
- Provide ad hoc analytics support to assigned program.
- Contribute to custom research projects.
- Evaluate data structure and integrity on an ongoing basis, determining whether data is consistent with expectations and whether specifications or data collection processes need to be changed.
- Conduct data quality assurance testing for database deliverables.
- Support relevant stakeholders in developing and releasing quality measures for rule-based logic implementation.
- Write sections of reports and manuscripts dealing with methods and results.
- Develop novel reports, under direction from senior staff, using applications such as SAS, R, Python.
- Create visual reports and dashboards.
- Provide customer support to program teams.
- Coordinate meeting logistics for cross-departmental statistician meetings (e.g., NSQIP, Trauma).
- A master's degree in statistics, public health, social sciences, or related field with strong quantitative concentration is required.
- 2+ years of statistical experience is preferred.
- Proficiency with SAS is required. Python, R, or other transferable programming skill set for data manipulation and analysis is preferred.
- Experience with manipulating large data sets, data cleaning, transformation, and merging is required.
- Experience in performing exploratory data analysis and creating descriptive summaries is required.
- Experience with statistical methods, such as linear and logistic multiple regression, model selection, mixed hierarchical models, and survival analysis, is required.
- Familiarity with SQL and Macros for handling structured data is preferred.
- Experience with data visualization tools and basic report generation is preferred.
- Good verbal communication skills are required, including the ability to convey technical concepts to diverse audiences.
- Good written communication skills including grammatical/technical writing skills.
We’re committed to attracting and retaining top talent via valuable benefits!
- Vacation, personal, and sick hours including 13 paid holidays per year
- Tuition Reimbursement
- Medical—comprehensive coverage through BlueCross BlueShield
- Dental, Vision, and Prescription drug program
- 403(b) Matching Program
- Pension Plan
- Flexible Spending Medical/Dependent Care
- Employee Assistance Program
- Short Term/Long Term Disability
- Life Insurance
- Domestic Partner Coverage
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