Statistician

The American College of Surgeons (ACS) is a professional and educational organization of surgeons founded in 1913 to raise the standards of surgical practice and improve the quality of care for surgical patients. With over 90,000 members, ACS is the largest organization of surgeons in the world, dedicated to the ethical and competent practice of surgery and influencing scientific surgery in America.

About the role

This Statistician role supports the CQI Statistics team by performing quantitative analytic functions, including data management, quality assurance, and statistical analysis using various datasets. The position involves executing analytic plans under senior staff guidance, evaluating data integrity, constructing predictive statistical models, and reporting results in formats suitable for program leadership, external stakeholders, and research investigators. This is a hybrid role based in Chicago, requiring 3 days per week in the office and 2 days remote.

Responsibilities

• Execute and define standardized analytic plans under supervision to support data analytics for assigned programs.
• Support classification methods and contribute to predictive and prognostic modeling, statistical learning methods, and machine learning/data science techniques.
• Provide ad hoc analytics support and contribute to custom research projects.
• Evaluate data structure and integrity, ensuring consistency with expectations and recommending changes to specifications or data collection processes.
• Conduct data quality assurance testing for database deliverables.
• Support 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 using SAS, R, Python, and create visual reports and dashboards.
• Provide customer support to program teams and coordinate logistics for cross-departmental statistician meetings (e.g., NSQIP, Trauma).
• Perform other duties as assigned.

Requirements

• A master’s degree in statistics, biostatistics, public health, social sciences, or a 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 skills for data manipulation and analysis are preferred.
• Experience with manipulating large datasets, data cleaning, transformation, and merging is required.
• Experience 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.
• Coursework or experience with Bayesian statistical methods is preferred.
• Familiarity with SQL and Macros for handling structured data is preferred.
• Experience with data visualization tools and basic report generation is preferred.
• Strong verbal and written communication skills, including the ability to convey technical concepts to diverse audiences.

Pay

The anticipated salary range for this position is $75,000 - $85,000, commensurate with related experience.

Benefits

• Vacation, personal, and sick hours, including 13 paid holidays per year.
• Tuition reimbursement.
• Comprehensive medical coverage through BlueCross BlueShield, plus dental, vision, and prescription drug programs.
• 403(b) matching program and pension plan.
• Flexible Spending Accounts for medical and dependent care.
• Employee Assistance Program.
• Short-term and long-term disability coverage.
• Life insurance.
• Domestic partner coverage.

Schedule

Hybrid role: 3 days per week in the Chicago office and 2 days per week remote.