The Study Design and Biostatistics Center (SDBC) at the University of Utah is seeking MS level biostatisticians to join a team of approximately 20 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.
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 strongly preferred. Prior experience in health services research and analysis of electronic health record data is desired by not required.
Education: A master’s degree in statistics, biostatistics or related field (epidemiology, applied mathematics, public health and computer science).
This position requires a solid knowledge of standard statistical analysis procedures with a minimum of an MS degree in statistics, biostatistics, or a related field, 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.
Minimum Preferred Skills: - 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 organization 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
Internal Number: PRN22865B
About University of Utah Health
SDBC at the University of Utah:
We are a multidisciplinary group of biostatisticians, epidemiologists, psychometricians, health economists, survey design researchers, and systematic review experts engaged in a wide range of collaborations throughout the Health Science Center of the University of Utah.
The SDBC serves as the Statistical Core within the Population Health Research Foundation of the Center for Clinical and Translational Science at the University of Utah and provides a rich environment for methodological and applied biomedical research across the university. Focus areas of SDBC and Population Health Research faculty include the design of clinical trials and observational studies, longitudinal analysis, survival analysis, epidemiologic modeling, Bayesian analysis, modern causal inference, analysis of biomarkers, statistical genetics and genomics, computational statistics, health economics, methods for the design and conduct of systematic reviews, structural equations models, and qualitative research.
The University Utah is the state’s largest institution of higher education featuring an innovative research community which is number one in the nation at creating... startup companies based on student and faculty research. As a preeminent research and teaching university with national and global reach, the University of Utah provides a wide range of opportunities for personal and professional growth in educational, research, and clinical environments.
The University is nestled in the Wasatch mountains overlooking Salt Lake City with breathtaking views and hiking trails directly adjoining the SDBC offices. Our city is famous for its wide range of outdoor activities including skiing (with 7 world class ski resorts and home of the 2002 Winter Olympics), hiking, mountain biking, rock climbing, hang gliding all within one hour. Eight national parks, over a dozen national monuments and recreation areas, and numerous national forests are within a half-day’s drive. At the same time, the Salt Lake City/Ogden metropolitan area is the state capital with 1.7 million people, and a major cultural hub of the intermountain west with year round urban activities. The University of Utah is an equal opportunity employer.