Job Description

Responsible for planning data collection, sample size calculation, and conducting power analysis for medical research; understand and summarize data from experiments, electronic health records and surveys; utilize statistical software including R, SAS, Python, SQL Server, and SPSS, on data cleaning, missing data imputation, descriptive analysis, modeling and visualization; apply generalized linear regression, mixed effect model, survival analysis, longitudinal data analysis, data visualization, hypothesis testing, power analysis, machine learning, and analysis of categorical data according to data types and research questions; provide hypothesis testing results and interpretations; explore literature relevant to research topics and develop expertise in new methodologies or statistical software packages; present numerical information in the form of customized tables and figures by advanced tools; and assist with the study design of research projects; meet regularly with data programming team and investigators to discuss and resolve data- or analysis- related challenges; responsible for writing of method and result section in manuscripts or abstracts for conference presentations or publications.

Location : Detroit, Michigan and multiple undetermined worksites throughout the US.

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Education: Masters Degree in Biostatistics, Statistics, Applied Statistics, or in a related field of study (will accept equivalent foreign degree);

Training: None.

Experience: None.

Other Requirements: Must have completed one (1) academic semester of coursework or research work that included use of all the following: SQL Server, R, SAS, Python, generalized linear regression, longitudinal data analysis, survival analysis, data visualization, hypothesis testing, power analysis, machine learning, and analysis of categorical data.

Will also accept any suitable combination of education, training and/or experience. Henry Ford Health System

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