- Provide programming support for analysis of real world data from different sources including medical and pharmacy claims data, hospital data, electronic medical record data, and prospective observational study data.
- Contribute in development of programming specifications for conducting the analysis using requirement details and source data.
- Develop/validate analysis datasets from a variety of file and formats from either internal or external vendors as well as using diverse collection of data files in terms of the type, data format and size.
- Develop/validate graphs and tables primarily for exploratory investigations with analysis requirements that may change throughout the life of the project.
- Ensure excellence in the programming of analysis ready datasets, tables, listings, and figures, and associated validation work
- Develop and maintain required documentation for the assigned deliverables.
- Communicate accurate and timely status updates to project lead and other project team members.
- Present and share knowledge at department meetings.
- Identify processes within programming that will increase productivity, quality and efficiency.
Bachelor or Masters in Computers, Engineering, Statistics, Health Informatics, Life Science, Mathematics, Economics, Econometrics
- At least 3 years of professional experience in quantitative data analysis
- Experience in working with real world data from: health insurance claims, real-world studies (eg: Retrospective analyses, Manual chart review, Prospective observational studies and registries, Pragmatic clinical trials)
- Programming skills: Base SAS, SAS Procedures, SAS Macros, SAS Graphs, SQL
- Expertise in creation of different types of graphs used for presenting data.
- Knowledge of other statistical analysis programming language like R, Python will be an added advantage
- Familiar with handling Big Data, non-standard/new data, complex data etc.
- Strong analytic mindset and logical thinking capability
- Good knowledge of the higher statistical and econometric methods in theory and practice
Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
Share on your newsfeed