Organization: University of Utah
Title: Statistician / Computer Professional Open date: 03/17/2008

The University of Utah, Department of Pediatrics, Division of Critical
Care is looking for a full-time statistician with an MS degree or
equivalent experience. The individual will provide statistical support
for research projects in the areas of study design and analysis plan,
calculation of sample size / power estimates, statistical analysis
programming, and interpretation of results. To apply, please visit
http://www.hr.utah.edu/careers/ and search for job posting number #
30866. 

Primary duties to include: 

1) Assisting in the planning of research including: study design,
analysis plan, sample size / power calculations, and protocol
development. 

2) Statistical analysis programming, including completing descriptive
and inferential analyses and the interpretation of results. 

3) Data cleaning, interaction with data management, and creation of
standard or analysis variables. 

4) The presentation of interim and final results in written summary
including tables and figures, as well as a written description of
methods and statistical analyses used. 

5) Help in the preparation and submission of grants, manuscripts, and
presentations. 

6) Direct communication with study investigators and other clinicians
regarding statistical issues including interpretation of study data. 

7) Conforming to and maintaining statistical standards at the Center.  

This position requires a solid knowledge of standard statistical
analysis procedures with a minimum of a Bachelors degree with 2 years
work related experience. Masters' degree is preferred. Working knowledge
of at least one statistical programming language such as SAS or R, and
general database management or programming skills are required. An
ability to work on several projects simultaneously, and manage deadlines
is essential. Good communication skills, including the ability to
clearly explain statistical techniques and present data results are
required.  Strong familiarity with SAS and experience in clinical trials
is preferred.