Statistician

ACS•Chicago, IL

6h•$75,000 - $85,000•Hybrid

About The Position

About the American College of Surgeons The American College of Surgeons (ACS) is a professional and educational organization of surgeons that was founded in 1913 to raise the standards of surgical practice and improve the quality of care for surgical patients. The College is dedicated to the ethical and competent practice of surgery. Its achievements have significantly influenced the course of scientific surgery in America and have established it as an important advocate for all surgical patients. The College has more than 90,000 members and is the largest organization of surgeons in the world. For more information, visit www.facs.org . Our Mission The American College of Surgeons is dedicated to improving the care of the surgical patient and safeguarding standards of care in an optimal and ethical practice environment. Our Vision To create a healthcare landscape where surgeons thrive and every patient has access to and benefits from the highest standards of surgical care, driven by innovation, education, leadership, and trust. Summary: 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).

Requirements

A master's degree in statistics, public health, social sciences, or related field with strong quantitative concentration is required.
Proficiency with SAS is required.
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.
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.

Nice To Haves

2+ years of statistical experience is preferred.
Python, R, or other transferable programming skill set for data manipulation and analysis is preferred.
Familiarity with SQL and Macros for handling structured data is preferred.
Experience with data visualization tools and basic report generation is preferred.

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.
Quality Assurance and Data Integrity : 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.
Reporting and Visualization: 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.
Cross-Functional and Customer Support: Provide customer support to program teams.
Coordinate meeting logistics for cross-departmental statistician meetings (e.g., NSQIP, Trauma).
Other duties as assigned.