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DEPT. OF EPIDEMIOLOGY & BIOSTATISTICS

Division of Genetic and Molecular Epidemiology

Events:

EPBI 502 - Seminar in Genetic Epidemiology

Wolstein Research Building, Room 1403, 1:15-2:15 PM

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Positions available with the Division

The Division of Genetic and Molecular Epidemiology of the Department of Epidemiology and Biostatistics at Case Western Reserve University currently has several positions available. These positions can be used both to develop new theory and computational techniques, and to analyze family data in areas such as hypertension, end-stage renal disease, and cardiovascular disease. For more details please contact one of our faculty below:

TWO RESEARCH ASSOCIATE (MUST HAVE EXPERTISE IN STATISTICS) AND TWO COMPUTER PROGRAMMER (MUST HAVE EXPERTISE IN C++) POSITIONS CURRENTLY AVAILABLE.
Women and minorities are encouraged to apply. Case Western Reserve University is an equal opportunity employer. Please contact Dr. Robert Elston for more information. Postdoctoral Researchers:

Postdoctoral Fellowships (for US citizens and those admitted to the US for permanent residence) and Research Associate positions are often available to work on developing and implementing new theory, and to analyze data from collaborative projects. Contact one of our Faculty for more information.

Predoctoral Students:

Predoctoral research and training positions are also available. For more information, contact Dr. Robert Elston. Interested students should review the Handbook for Graduate Studies in Genetic and Molecular Epidemiology for program information and requirements.

Faculty/Staff Positions:

H.G.A.R. and the Genetic Epidemiology group in the Department of Epidemiology and Biostatistics occasionally have positions available in the areas of statistical genetic analysis and genetic epidemiology, specifically on NIH-funded projects searching for genes affecting hypertension, cardiovascular disease and pulmonary disease. This will involve conducting collaborative research with faculty: statistical methodological research (e.g. development of new methods for association studies) and/or substantive research by means of data analysis. In the latter case, there is strong interaction with established research workers in the areas of application. The ideal candidates should have a Ph.D in statistics/statistical genetics or genetic epidemiology, but there will be the opportunity to attend specialized courses for further training in this area. Knowledge of computer programming such as using C, SAS, Splus/R and genetic analysis software is highly desirable. Eligible persons are invited to apply in writing to Dr. Robert Elston.