Biostatistician II - Cardiovascular Medicine

Biostatistician II - Cardiovascular Medicine

Job Summary

The Study Design and Biostatistics Center (SDBC) and the Cardiovascular Medicine Division in the Department of Internal Medicine at the University of Utah seek an MS statistician to join a team of biostatisticians and cardiologists to collaborate with clinical and translational investigators. The successful candidate 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 provides mentorship by experienced statisticians and continuous training and professional development opportunities. The successful candidate will have skills in data analysis, a 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 be able 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. The biostatistician will report to a faculty statistician who will provide guidance.

The ideal candidate would have previous experience in a statistical consulting role, be able to meet with investigators independently and develop statistical analysis plans under the guidance of a faculty statistician.

This position requires the ability to relocate to Salt Lake City, Utah, but it may have the option of a hybrid - partial onsite/partial telecommute - work schedule.

Responsibilities
We are seeking a biostatistician who is capable of meeting 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, and assist in presentations and publications. Solid knowledge of statistical methods, including multiple regression, longitudinal data analysis, categorical data analysis, and survival analysis, is strongly preferred. Prior experience in health services research and analysis of electronic health record data is desired but not required.Work Environment and Level of Frequency typically requiredNearly Continuously: Office environment.Physical Requirements and Level of Frequency that may be requiredNearly Continuously: Sitting, hearing, listening, talking.Often: Repetitive hand motion (such as typing), walking.Seldom: Bending, reaching overhead.

Minimum Qualifications
This position requires a solid knowledge of standard statistical analysis procedures with a minimum of an MS degree in statistics, biostatistics, a related field, or equivalency (one year of education can be substituted for two years of related work experience), and demonstrated knowledge of at least one statistical programming language such as SAS or R. Experience with Microsoft Office (Word, Excel, PowerPoint). An ability to work on several projects simultaneously and manage deadlines, and excellent communication skills, including the ability to clearly explain statistical techniques and present data results.

Preferences

• Excellent written and verbal communication skills with the ability to document work through statistical analysis plans and reports.
• Demonstrated expertise in either the SAS or R statistical programming languages- Interest in learning new statistical methods.
• Strong organizational skills and the ability to handle a demanding workload and balance multiple tasks.
• Highly motivated and able to work in an interdisciplinary group setting.
• At least one year of experience in a statistical consulting or statistical programmer role.
• Prior experience in a biomedical research is desirable but not required.
• Prior experience in the analysis of large administrative data sets is desirable but not required.
• The ideal candidate would have previous experience in a statistical consulting role, be able to meet with investigators independently, and develop statistical analysis plans under the guidance of a faculty statistician.

Special Instructions


Requisition Number: PRN40123B
Full Time or Part Time? Full Time
Work Schedule Summary: TBD
Department: 00226 - Cardiology
Location: Campus
Pay Rate Range: 58300 to 84249
Close Date: 1/17/2025
Open Until Filled:

To apply, visit https://utah.peopleadmin.com/postings/172801


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