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Join a forward-thinking company as a Senior Statistical Programmer, where your expertise in SAS programming and statistical analysis will drive innovative solutions in the biopharmaceutical industry. In this fully remote role, you'll collaborate with researchers to create analytical tools and algorithms that enhance clinical studies. With a focus on quality and data integrity, you'll play a vital role in ensuring accurate reporting and analysis. This is an exciting opportunity to contribute to groundbreaking research while working with a dynamic team dedicated to advancing healthcare solutions.
Catalyst Clinical Research provides customizable solutions to the biopharmaceutical and biotechnology industries through Catalyst Oncology , a full-service oncology CRO,andmulti-therapeutic global functional and CRO services through Catalyst Flex . The company's customer-centric flexible service model, innovative technology, expert team members, and global presence advance clinical studies. Visit CatalystCR.com .
As a Senior Statistical Programmer you will develop new software applications or customize existing applications to meet specific scientific project needs. Create novel computational approaches and analytical tools as required by research goals. Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies. Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences. Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms. Program routine and customized data displays, (including listings, tables, and graphics) in accordance with the approved Statistical Analysis Plan and shell displays. Code is to be written using SAS, SAS procedures, or standardized macros. Create safety and efficacy SAS datasets. Create project specific macros and formats. Perform data checks as needed, to ensure integrity and correctness of data displays and to understand structure and content of data. Perform QC/validation of datasets, tables, listings, figures to verify the output. Establish, maintain, and strengthen professional working relationship with clients, potential clients, regulatory agencies, collaborating staff, vendor, and subcontract personnel. Represent department and company in a multi-disciplinary setting, including project team meetings, client meetings/presentations. Ensure the quality and integrity of data analysis and reporting. Maintain awareness of project budgets and tasks, and effectively communicate the status of such tasks to management. Contribute to the development of functional-level standards, tools, and templates. Interact across operational areas as required. Interact with sponsor representatives as required.
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