What are the responsibilities and job description for the Senior Statistician position at Advocate Aurora Health?
The Senior Statistician serves as a key collaborator at Atrium Health Levine Cancer, part of Advocate Health, supporting the organization's cancer research mission. Working closely with multidisciplinary cancer research teams, this position provides biostatistical expertise for clinical trials and observational studies throughout the research lifecycle, including study design, protocol development, grant preparation, data analysis, interpretation of results, and dissemination of scientific findings through presentations and peer-reviewed publications.
Essential Functions
- Uses advanced statistical and computational methodologies to deliver insights and strategic opportunities to improve the quality, patient experience, and cost of healthcare.
- Establishes scalable, efficient, automated processes for large scale data analyses and model development, validation, and implementation.
- Monitors and analyzes complex systems to understand, diagnose, and continuously improve key performance indicators.
- Assists with the design of research protocols including sample size calculations and randomization.
- Writes statistical methodology and results for technical reports and publications. Develops metrics and scorecards.
- Provides data and analyses for the preparation of grants for outside funding, and assists as appropriate with the preparation of proposals.
- Manipulates, combines, and refines large databases to produce information suitable for analysis.
- Creates graphics for data visualization and information display.
- Works with researchers to shape and direct research questions.
Physical Requirements
Works in office environment using office equipment (computers, copiers, etc). Most of day requires sitting.
Education, Experience and Certifications
Master's Degree in Statistics, Biostatistics, or related field required. 5 years professional experience or equivalent combination of education and experience required. Experience with SAS and/or R, databases and computer programming required. Knowledge of research design and terminology required.