1,324 statistics positions at University of Utah

Research Assistant/Analyst

. Responsibilities Collects and compiles data from a variety of sources; may enter data into a PC or computer terminal. Statistically analyzes data to include calculating the mean, median, and standard deviation

Lab Technician

literature reviews to obtain abstracts and information to be utilized in research. 5. Makes statistical calculations, analyzes data and prepares reports summarizing results. 6. May supervise the care

Biostatistician II

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

PS Research Assistant/Analyst

organizational and interpersonal skills and experience with data management and/or statistical software. Research assistants will work under the mentorship of Dr. Cortez in the Department of Neurology, alongside a

Sr Research Analyst

as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. Essential Functions Oversees/conducts statistical analyses, employing methods

Biostatistician I

The Study Design and Biostatistics Center (SDBC) at the University of Utah is seeking a MS statistician to carry out statistical analyses in collaboration with clinical and translational investigators

Lab Technician

research. 5. Makes statistical calculations, analyzes data and prepares reports summarizing results. 6. May supervise the care of research animals; perform minor animal surgery or collect animal tissues and

PS Lab Specialist

of advanced scientific techniques and procedures as well as the ability to make statistical calculations, analyze results, prepare reports and perform specialized tests also required. This position is patient

Evaluation Specialist

skills and a commitment to providing excellent customer service. Requires the ability to use basic statistical and qualitative methods to analyze, interpret, and report on data. Strong attention to detail

Data Scientist

datasets for statistical analysis. Interpret results from multiple healthcare data sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining