Develop analytical plans and conduct statistical analyses using SAS, R and other software as needed. Analyses may include but are not limited to linear and logistic regression, survival analysis, mixed models, propensity score methods, and more advanced analysis techniques.
Create tables, figures, and graphs for presentation and publication. Contribute to the analysis sections of grants and papers.
Conduct power analyses and other analyses needed in relation to grant preparation.
Assist in coordination for the maintenance, updating, and compilation of a variety of complex linked databases, including longitudinal databases. Create new derived variables, run checks on existing data.
Assist with creation and maintenance of documentation for databases, including detailed descriptions of contents and created variables.
Advise other data analysts working on the projects and provide programming and data analysis support for graduate students. Interact with investigators, data managers, students, and other analysts.
Work with minimal supervision, conferring with superior where necessary and overseeing other team members and graduate students.