Statistical Analyst

Department: MED-Preventive Medicine

Salary/Grade: EXS/8

Target hiring range for this position will be between $70,017 - $80,000 per year. Offered salary will be determined by the applicant's education, experience, knowledge, skills and abilities, as well as internal equity and alignment with market data.

Location: Chicago, Illinois

The Quantitative Data Sciences Core (QDSC) of the Robert H. Lurie Comprehensive Cancer Center at the Feinberg School of Medicine (FSM) is recruiting a Master’s‑level statistical analyst to join a highly collegial academic environment in the Division of Biostatistics & Infectiv onistics in FSM’s Department of Preventive Medicine. This role involves collaborating with cancer research investigators on clinical trials and other clinical, epidemiological, and basic science studies, working under the supervision of Biostatistics faculty members.

Duties include managing and analyzing multiple complex datasets; ensuring data integrity, quality, and timeliness of results; developing statistical analysis plans in collaboration with biostatistics faculty; and preparing statistical analysis reports using reproducible pipelines. Level of appointment and responsibilities will be commensurate with experience and education.

Strategic Planning

• Manages and plans for data/analysis requests and projects.
• Provides consultation to customers on appropriate data management, methodological issues and statistical analyses.
• Assists in the development of statistical analysis plans.
• Manages multiple ongoing projects.
• Assists in the development of project analysis milestones and timelines, and ensures timely completion.
• Collaborates with Quality Assurance Monitoring team and other groups on data collection tool development and other data management activities.

Administration

• Reviews reports before presentation to ensure quality and accuracy.
• Develops and maintains documentation of process for quality assurance and reporting methodology.

Development

• Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex statistical analysis.
• Determines data structure for local datasets.
• Cleans and organizes data in preparation for analysis.
• Prepares statistical analysis reports, including tables and figures, for meetings with investigators, and for presentations and publications.
• Develops well‑documented code using code style best practices.
• Prepares structured and well‑annotated statistical analysis reports using R and R Markdown.
• Develops data collection tools independently and in collaboration with other groups.
• Learns new statistical methods as needed for projects.

Performance

• Develops and documents standards for data quality and regulatory compliance pertaining to reporting.
• Ensures quality and compliance by reviewing reports.
• Performs range, logic and consistency checks, reporting errors when preparing reports.
• Produces readable well‑documented code according to code style best practices.
• Maintains professional and clear communication style.
• Adheres to project timelines and deadlines.

Miscellaneous

Performs other duties as assigned.

• Successful completion of a full 4‑year course of study in an accredited college or university leading to a bachelor's or higher degree; OR appropriate combination of education and experience.
• 4 years data analysis/report writing or similar experience required.

• High Performance Computing (HPC)
• Microsoft Office (Word, Excel, Powerpoint, Access, Outlook)
• Programming Languages and Frameworks
• Other: R, RStudio, R Markdown

• HIPAA
• IRB

• critical thinking
• data mining
• data modeling
• database design/ data structure
• Debugging
• decision making
• judgment
• problem solving
• Troubleshooting

• Code documentation
• collaboration and teamwork
• organizational skills
• planning
• workflow development & documentation
• write proposals and project charters

• Strong foundational knowledge of statistical methods used in cancer biostatistics.
• Advanced proficiency in R and R Markdown for data management, analysis, and report generation, including the…