The Biostatistics Section in the Department of Quantitative Health Sciences at the Cleveland Clinic Foundation employs outstanding biostatisticians and statistical programmers who are involved in health research and some teaching. Members work within teams to collaborate with investigators throughout the Clinic by providing expertise and effort in designing new studies, developing databases, analyzing data and interpreting results, and sharing in the responsibilities and rewards of presentations and publications. Openings often exist for recent bachelors, masters, and doctoral graduates, as well as for those with experience.

The Cleveland Clinic is a non-profit academic medical center known throughout the world as a leader in patient care, research, and education. Its Department of Quantitative Health Sciences has about 90 professionals, including about 40 biostatisticians and statistical programmers.

The Biostatistics Section includes the following kinds of professional biostatisticians:

• Masters-level biostatistical scientists collaborate directly with physicians and other health science researchers. They work on all phases of research, from planning studies to co-authoring scientific presentations and papers. They make creative use of existing statistical methods and computing, have a mature understanding of the broad role of biostatistics in health science research, and have excellent communication skills. Specifically, they carry out data manipulations, perform statistical analyses in SAS and S-Plus, develop SAS macros and S-Plus functions, create statistical graphics, and write reports and sections of manuscripts. They work well in a team environment. Those with less experience are guided by experienced team leaders and teammates. Those with substantial experience provide mentoring and formal supervision, and they teach in seminars and shortcourses around the Clinic.
  
  Information on current openings:
  Recent graduates or experienced
  

• Bachelors- or masters-level statistical programmers support projects by concentrating in biostatistical computing. They are creative and efficient in using SAS and S-Plus as programming languages (e.g., SAS data step and macro languages). They have a deep understanding of tabling, graphing, and report functions, and they can use the standard statistical procedures efffectively. They are also skilled at working within the interface of relational database systems and statistical software, say, with PROC SQL. Less experienced statistical programmers develop these skills under the guidance of experienced team leaders and teammates.
  
  Information on current openings:
  Positions for Biostatistics Section