Clinical Programmer

You will be responsible for creating a catalogue of reports to support data cleaning activities with low to medium complexity. Your tasks will include automating manual checks, reconciliation, and program edit checks for TPV data to ensure quality. Additionally, you will develop tools and repositories to minimize data errors at the source for the collection of lab reference ranges. You will program reports to identify missing pages, detect errors at the Subject level, and create reports to measure metrics for assessing data cleaning status. Furthermore, you will be tasked with creating visualizations and dashboards to identify discrepancies and trends in EDC and TPV data. In addition to the above responsibilities, you will contribute to the implementation of cross-functional projects as part of the clinical programming roadmap. This will involve collaborating with various teams including data management, development operations, clinical, biometrics, and other relevant multi-functional teams supporting clinical trials to deliver end-user reporting needs. As a Clinical Programmer, your duties will encompass designing, developing, implementing, and validating programs created in SAS/Python/R/SQL or dashboard applications such as PowerBI/Spotfire/MicroStrategy to process, analyze, and report clinical trial data for review by clinical study teams. To be successful in this role, you should possess a Bachelor's degree or equivalent in computer science, life science, or statistics. You must have good programming skills and prior experience in SAS/Python/R/SQL, as well as familiarity with business intelligence technologies like Power BI and MicroStrategy. An understanding of data collection and industry data standards, EDC systems such as Medidata Rave/Inform/Veeva, and basic knowledge of the clinical development process are also required. Desirable skills include proficiency in Python/SAS/SQL programming, data visualization, and analytics using tools like MicroStrategy/PowerBI or other BI tools. Exposure to tools like Saama/SAS LSAF and knowledge of the Clinical Trial Life Cycle and Data Management domain would be advantageous. In summary, as a member of Virtusa, you will be part of a global team that values teamwork, quality of life, and professional development. You will have the opportunity to work on exciting projects, leverage state-of-the-art technologies, and collaborate with great minds in a dynamic environment that fosters excellence.,