Statistician 1-26978

About the role

The Statistician 1 works under the direction of the Principal Investigator and Supervising Statistician for the Rush Interdisciplinary Consortium for Critical Care Trials and Data Science (RICCC).

Responsibilities

• Compute new variables in output for specific requests, displaying stages by showing summaries of all records and by showing all data for one or more participants.
• Develop, write and run complex computer programs in SAS and R to 1) utilize, summarize, and describe datasets, including frequencies, lists, and plots and 2) perform statistical analyses of biomedical data, employing appropriate statistical methods, such as survival analyses, generalized linear modeling, nonparametric methods and graphical methods.
• Types of data analyzed include categorical, longitudinal, and censored failure-time data. All programs should be organized and modular.
• Perform quality checks for programs that summarize and describe by examining data to identify potential data inconsistencies. Document for review.
• Document programs clearly to facilitate interpretation and general use by other members of the team and by investigators.
• Store all output and programs on servers and file systems accessible to other team members.
• Upon request, working closely with investigators, prepare publication-ready figures.
• Conduct investigations as appropriate to ensure assumptions of statistical models developed for analyses are adequately met. Identify concerns.

Requirements

• Master’s degree in Biostatistics, Statistics or closely related field.
• 2 years of experience performing statistical analysis of biomedical or related data.
• Knowledge of linear and logistic regression, longitudinal analysis and survival analysis methods.
• Strong analytical skills.
• Proficiency with SAS or R/R-studio programming.
• Proficiency with Microsoft Office (Word, Excel, Power Point).
• Clear and concise written and verbal communication skills.
• Detail oriented and careful attention to accuracy.

Qualifications

• Master’s degree in Biostatistics, Statistics or closely related field.
• 2 years of experience performing statistical analysis of biomedical or related data.

Skills

• Knowledge of linear and logistic regression, longitudinal analysis and survival analysis methods.
• Strong analytical skills.
• Proficiency with SAS or R/R-studio programming.
• Proficiency with Microsoft Office (Word, Excel, Power Point).
• Clear and concise written and verbal communication skills.
• Detail oriented and careful attention to accuracy.

Benefits

Rush offers exceptional rewards and benefits. Learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).

Pay

Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.

Schedule

Shift 1