Company Information: 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. . 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.
Position Title: PhD Level Biostatistician
Duties and Responsibilities: The Study Design and Biostatistics Center (SDBC) in the Division of Epidemiology at the University of Utah is seeking a biostatistician to carry out statistical analyses in collaboration with clinical and translational investigators in the areas of Congenital Heart Disease and/or Pediatric Acquired Heart Disease. The successful candidate will be a PhD level Biostatistician who works effectively in a group setting in areas of design of data collection instruments, study design, statistical programming, analysis of data, statistical graphics and writing of reports which include explanations of methods used and interpretations of results obtained. Experience working with administrative datasets and multicenter registry (including medical billing datasets, state vital records and environmentally and spatially explicit datasets, datasets from clinical registries (including Centripitus, IMPACT), and NIH public use datasets; and experience with the analysis of population-level and genetic epidemiological study designs is expected and experience with advanced methodologies such as modeling and simulations is desired. Applicants must be organized, attentive to detail and timely in their work. Most importantly, the successful applicant will have the opportunity to become integral to a very productive and successful research team.
Position Qualifications: Education Requirements: Candidates MUST have a PhD degree in statistics or biostatistics or related field. Experience with machine learning (e.g., neural networks, support vector machines, decision trees (CART), and meta-classification (boosting) will be viewed favorably).
Minimum Skills/Knowledge Requirements:
– Excellent written and verbal communication skills with the ability to document methods and results through preparation of reports, and to write statistical methods sections of manuscripts and grant applications
– Knowledge of statistical methods including regression techniques, propensity modelling, and multi-level analysis of clustered data.
– Demonstrated expertise in at least one of the following statistical programming languages: (SAS, R, or STATA)
– Interest and aptitude for learning and implementing new statistical methods
– Strong organization skills and the ability to balance multiple tasks and provide oversight for junior statisticians
Experience and skills in several of the following areas is desired:
– Experience working with large administrative datasets including medical billing datasets, state vital records and environmentally and spatially explicit datasets
– Experience with the analysis of population-level and genetic epidemiological study designs
– Experience in clinical trails and survey statistics
– Prior experience in a biomedical research setting
– Proficiency in conceptualizing tables and graphs from raw data, and convey publication data for scientific presentations and manuscripts
Benefits: Competitive benefits package
Application Information: Please include your cover letter as the first page of your resume.
Application Deadline: 08/01/2017