Biostatistician II

The University of Utah • Salt Lake, UT

4d • Hybrid

About The Position

The Study Design and Biostatistics Center ( SDBC ) at the University of Utah is seeking MS level biostatisticians to join a team of biostatisticians and epidemiologists to collaborate with clinical and translational researchers in biomedical research. The successful candidates will work effectively in a multidisciplinary group setting in areas of study design, statistical programming, data management, data analysis, graphical presentation of data and writing of reports which include explanations of the statistical methods used and interpretation of results. The work environment includes mentorship by experienced statisticians and continuous opportunities for training and professional development. The successful candidates will have skills in data analysis, strong interest in continuously learning new statistical methods, mastery of at least one of the statistical programming languages SAS or R, and excellent communication skills. The successful candidate will also have the ability to create analysis data sets to meet the specifications of individual projects while adhering to internal standards and guidelines, perform program validation, document programs, and provide consistent maintenance of statistical software. This position requires an ability to relocate to Salt Lake City, Utah, but it may have the option for a hybrid – partial onsite/partial telecommute – work schedule.

Requirements

• Solid knowledge of standard statistical analysis procedures
• MS degree in statistics, biostatistics, a related field, or equivalency (one year of education can be substituted for two years of related work experience)
• Demonstrated knowledge of at least one statistical programming language such as SAS or R
• Experience with Microsoft Office (Word, Excel, PowerPoint)
• Ability to work on several projects simultaneously and manage deadlines
• Excellent communication skills, including the ability to clearly explain statistical techniques and present data results

Nice To Haves

• Solid knowledge of statistical methods including multiple regression, longitudinal data analysis, categorical data analysis and survival analysis strongly preferred
• Prior experience in health services research and analysis of electronic health record data is desired by not required

Responsibilities

• Meet independently with clinical investigators and health service researchers to clarify study objectives and write statistical analysis plans
• Carry out sample size calculations
• Conduct statistical analyses
• Write reports to present results of statistical analyses
• Prepare graphical summaries of data
• Assist in presentations and publications

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees