Opening for Masters/Bachelor’s Degree in Life Science as Principal Analyst-Analytics in Novartis
A global healthcare leader, Novartis has one of the most exciting product pipelines in the industry today. A pipeline of innovative medicines brought to life by diverse, talented and performance driven people. All of which makes them one of the most rewarding employers in their field.
Post: Principal Analyst-Analytics
Responsible for leading user requirement gathering for complex reports for data review and analysis. Independently manage requirements gathering and implementation of complex reports. Provide quantitative analytical support and produce key reports for Oncology Global Development, including BDM, GMO and GPTs. These tasks are to be performed independently. Drive the implementation of data analytics reports for optimal data review by working with the users to establish robust user specification and with programmers to implement the optimal output. Proactively identify or address needs for optimal data review reports working with users and programmers as appropriate.
Implement project plans for delivery, ensuring customer needs are addressed in a timely manner within Oncology Development Drive development of appropriate user training. Drive all necessary change management activities related to implemenation of new data review tools / reports as related data cleaning, review and visualization. Provide understandable and actionable reports on clinical data and monitoring of clinical data for key stakeholders Provide quantitative analytical support to the global program teams, including providing support on analyzing reports Systematically sample / monitor utilization of reports and tools, perform and coordinate periodic review of outputs.
Report findings and take necessary steps to ensure reports are being for optimal data review. Work with the internal SMEs and key stakeholders in providing analysis and interpretation of clinical program/trial operational data Lead initiatives within Analytics, including training, to support overall compliance and adherance to data review through robust reports and tools. Proactively identify and address areas of concerns to avoid issues and ensure consistency, accurancy and completeness of reported clinical data.
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