Manager Data Science and Analytics

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

22! Be part of high performing global team of 22 associates offering services to ensure patient safety in PV system operations and technology space, live your passion for innovation and ability to build transformative solutions with opportunities to learn and lead.

The Manager Data Science & Analytics provides data science and quantitative analytical support for CMO&PS by ensuring timely delivery of high quality reports to meet regulatory requirements, enable medical safety analysis and monitor safety profile of Novartis products. Build capabilities to leverage the Science of data to enhance safety surveillance, case management and delivery of management metrics. These tasks are to be performed independently. Responsible for independently managing small to medium Projects.

Your responsibilities include, but are not limited to:

• Engineer key analytical insights into simple, intuitive, and well-designed tools and services tailored for each role and process in areas such as:
• aggregate analysis and reports including PSUR, DSUR, PQR, APR and audit/inspection related outputs
• PV leaning analytics
• Budget forecasting
• Resource allocation and vendor management support
• Patient focused protocol design and reported outcome
• risk-based operational monitoring of country operations
• detecting data anomalies, outliers and procedural errors
• signal detection
• track the business’s performance against data analysis model and monitor trends in key business KPIs, providing valuable insights to relevant departments for overall business performance improvement.
• Interact with domain experts to understand the data and the business challenges and design solutions to the challenges using data.
• Ability to translate business questions into analytical problems and build solutions using visualisation 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.
• Is responsible in creation of new data sciences capabilities for the business by envisioning and executing strategies that will influence improvement of the business’s performance by enabling informed decision making.
• 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.

  The role is based in East Hanover, NJ.