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| Job Location | Hyderabad |
| Education | Not Mentioned |
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| Industry | Medical / Healthcare |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
Your responsibilities:Your responsibilities include, but are not limited to: Interact with domain experts to understand the data and the business challenges and design data science solutions. Ability to translate business questions into analytical problems and build solutions using visualization techniques, machine learning, statistical modeling. Independently manage small to medium projects. Ability to provide understandable and actionable business intelligence for key stakeholders Research and develop new algorithms, methods, statistical models and business models and providing insight into structured and unstructured data. Working with the internal process experts and key stakeholders in providing analysis and interpretation of safety/PV data. Collaborate with partners in IT and GDD functions to improve the availability of data (near-real time data flows) and data quality as required for high quality, innovative, analytical/ technical solutions. Bring in efficiency with innovative solutions; effective usage of new technologies and concepts; developing new analysis opportunities by integrating existing and new data sources. Lead the design and oversees the development of predictive and data-driven solutions (for ex: Safety Reporting tool) and services to ensure drug, device, trial and patient level benefit/risk information is available proactively for safety analysis, signal detection and risk management. Manage timely delivery of high quality PV& Medical safety listing, analysis and data and ensure compliance with health authority regulations. Supports and represents Data Science team in regulatory inspections/audits, as and when required. Should mentor and coach data science leads, by guiding them through the execution of their duties, and encouraging their professional growth in preparation for their occupation of his position in future. Act as deputy of Sr. Manager Data Science and Analytics/Head Data Science/Head Data Analytics as and when needed. Minimum requirements PhD/Masters/Bachelor s Degree in Economics, Econometric, Statistics, Mathematics, Operations Research, Engineering (Biotech, Computer Science, Information Technology), Pharmaceutical, Life Science English 10-15 years of experience in Data Analytics or related fields with specific experience of producing Key Performance Indicators or similar monthly reports for Senior Management and building statistical models for addressing business issues 1-3 years of Pharma, CRO, Life Science experience would be preferredWhy consider Novartis 750 million. That s how many lives our products touch. And while we re proud of that fact, in this world of digital and technological transformation, we must ask ourselves this: how can we continue to improve and extend even more people s lives We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you re given opportunities to explore the power of digital and data. Where you re empowered to risk failure by taking smart risks, and where you re surrounded by people who share your determination to tackle the world s toughest medical challenges.We are Novartis. Join us and help us reimagine medicine.,
Keyskills :
key performance indicatorsdata sciencedata qualitydata analyticsmonthly reportssafety analysiscomputer sciencemachine learningsenior management