• Performs programming tasks as assigned by study project team leads that includes but is not limited to independently creating, executing, maintaining, and validating programs that transfer data across multiple data management systems or operating systems, combining data from a variety of sources and structures, generating and storing summary data from a variety of sources, generating reports or combining multiple databases and validating programs that generate listings, tables and figures using SAS and standard tools and processes.

• Prepares and analyzes clinical trial patient datasets, such as laboratory data, vital signs data, tumor response data, imaging data, quality of life and well-being questionnaire data, or adverse events data, for clinical research purposes. Consult with researchers and multi-disciplinary project teams to analyze problems and recommend technology-based solutions and computational

strategies for the specific project as assigned.

• Develops the customized codes to utilize existing tools and applications to provide the outputs or to validate outputs for clinical bioinformatics or technical use.

• Acts as the programming lead on studies of simple to moderate complexity to deliver on lead tasks/responsibilities.

• Actively seeks information to gain good understanding of the role of the lead programmer in the overall process and may act as the lead programmer on simple to moderately complex projects under close supervision. Ensures adherence to departmental working practice documents and SOPs, and contributes to the development informal training materials.

• Increases knowledge base and professional skills in areas including programming, technology and techniques, clinical trials, and the pharmaceutical industry by working closely with mentors, attending presentation / teaching events, and contributing to other general department documents and policies by assisting mentors with implementing best practice documents and articles.