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Position: Biostatistician
Institution: Stanford Medicine
Location: Stanford, California, United States
Duties: Design study with an emphasis on clinical trials data. Collaborate with content experts to understand data and build appropriate statistical models to understand the data. Perform modeling building, statistical estimation, statistical inference, and modeling fitting diagnostics using off-the-shelf and custom-coded statistical programs in R or SAS; Develop and implement protocol for quality control. Oversee data cleaning and data management of multiple datasets; Create analytic files with detailed documentation; Select appropriate statistical tools for addressing a given research question
Requirements: Master's degree in biostatistics, statistics or related field and at least 3 years of experience; Experience in analyzing data for NIH-funded clinical trials; Proficient in Perl, Python, or other scripting languages for data munging; Skills in statistical estimation, statistical inference, and modeling fitting diagnostics; Proficient in R or SAS; Knowledge of non-parametric statistics, Bayesian methods, and small sample size methods; 2 year of experience doing collaborative biostatistics
   
Text: Biostatistician Design study with an emphasis on clinical trials data. Collaborate with content experts to understand data and build appropriate statistical models to understand the data. Perform modeling building, statistical estimation, statistical inference, and modeling fitting diagnostics using off-the-shelf and custom-coded statistical programs in R or SAS; Develop and implement protocol for quality control. Oversee data cleaning and data management of multiple datasets; Create analytic files with detailed documentation; Select appropriate statistical tools for addressing a given research question Master's degree in biostatistics, statistics or related field and at least 3 years of experience; Experience in analyzing data for NIH-funded clinical trials; Proficient in Perl, Python, or other scripting languages for data munging; Skills in statistical estimation, statistical inference, and modeling fitting diagnostics; Proficient in R or SAS; Knowledge of non-parametric statistics, Bayesian methods, and small sample size methods; 2 year of experience doing collaborative biostatistics
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