What are the responsibilities and job description for the Biostatistician II position at Henry Ford Health - Careers?
Responsible for planning data collection, and analyzing and interpreting numerical data from experiments, clinical studies and surveys; apply statistical methodology to provide information for scientific and clinical research; perform statistical analysis of data collected; prepare numerical information for presentations; prepare statistical sections of research protocols and scientific publications; utilize experiment design, sampling theory, simulation study, Python, large medical claim data, categorical data analysis, regression methods, Cox PH, mixed model, shrinkage regression, LASSO, ENET, adaptive ENET, tree-based algorithms, CART, random forests, inverse probability weighting, propensity score weighting, Linux, Git, R, SAS, ggplot2 (data visualization tool), categorical analysis, survival analysis, longitudinal analysis, power analysis, missing data analysis, statistical simulation, mediation analysis, weighting methods, epidemiology and machine learning to perform duties; evaluate reliability of source information, adjust and weigh raw data, and organize results into a form compatible with analysis by computer or other methods; assist investigators with the design of complex studies by planning methods to collect information and by developing questionnaires and sampling techniques; prepare data ready for analysis with efficiency using data manipulation tools including dplyr and proc SQL; analyze data using diverse statistical methods from univariate statistics to complex multivariate techniques, as well as utilizing appropriate statistical packages; present numerical information in the form of customized tables and figures by advanced tools including knitr and ggplot2; draft statistical related sections for research protocols and scientific publications; and assist investigations with the designing of research studies or projects.
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Education: Masters Degree in Biostatistics, Statistics, or in a related field of study (will accept equivalent foreign degree);