Biostatistician | Stanford, California, United States | Stanford University

Position:	Biostatistician
Institution:	Stanford University
Location:	Stanford, California, United States
Duties:	Design study; Develop and implement protocol for quality control; Create analytic files with detailed documentation; Select appropriate statistical tools for addressing a given research question; Implement data analysis through statistical programming; Present results for investigators using graphs and tables; Summarize findings orally and in written form; Participate in the preparation of papers for publication
Requirements:	Master’s degree in biostatistics, statistics or related field and three years of experience; Proficient in at least two of R, SAS, SPSS, or STATA; Skills in descriptive analysis, modeling of data, and graphic interfaces; Outstanding ability to communicate technical information to both technical and non-technical audiences; Demonstrated excellence in at least one area of expertise, which may include coordinating studies; statistical methodology such as missing data, survival analysis, statistical genetics, or informatics; statistical computing; database design (e.g., expertise in RedCAP or MySQL); graphical techniques (e.g., expertise in Illustrator)

Text:	Biostatistician Design study; Develop and implement protocol for quality control; Create analytic files with detailed documentation; Select appropriate statistical tools for addressing a given research question; Implement data analysis through statistical programming; Present results for investigators using graphs and tables; Summarize findings orally and in written form; Participate in the preparation of papers for publication Master’s degree in biostatistics, statistics or related field and three years of experience; Proficient in at least two of R, SAS, SPSS, or STATA; Skills in descriptive analysis, modeling of data, and graphic interfaces; Outstanding ability to communicate technical information to both technical and non-technical audiences; Demonstrated excellence in at least one area of expertise, which may include coordinating studies; statistical methodology such as missing data, survival analysis, statistical genetics, or informatics; statistical computing; database design (e.g., expertise in RedCAP or MySQL); graphical techniques (e.g., expertise in Illustrator)