Programming: Proficiency in both SAS and R languages, including syntax, data manipulation techniques, and statistical modeling.
Data Analysis: Experience with data extraction from various sources, cleaning, preprocessing, and statistical analysis using SAS and R.
Statistical Modeling: Ability to apply various statistical models, including linear regression and mixed-effects models, in both SAS and R.
Reporting and Visualization: Experience with creating reports (e.g., using Qlik or R Markdown) and visualizations to communicate findings effectively
Troubleshooting: Strong analytical and problem-solving skills to troubleshoot and resolve complex issues in SAS and R code.
Communication: Ability to communicate technical concepts to non-technical stakeholders effectively.
Collaboration: Experience working in a team environment and collaborating with other professionals, such as biostatisticians
Under moderate guidance, designs, develops, evaluates and modifies SAS and R programs to analyze and evaluate clinical data.
Plans, writes and executes statistical programs in SAS and R designed to analyze data from database. Produces tables, listings and figures. Assesses data accuracy and consistency.
Extract data from the SAS system and developed R scripts to clean, preprocess, and analyze data.
Application of advanced statistical models, including linear regression and mixed-effects models
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Healthcare & Life SciencesRole Category: Health InformaticsRole: Clinical InformaticsEmployement Type: Full time