Job Description

Summary Your responsibilities include, but not limited to:Ensure data curation by applying appropriate standard Quality & Security checks
Helps onboarding of data assets to the FAIRification process by working with relevant stakeholder, systems to identify data and metadata
Help creation of Uniform Resource Identifier (URIs) to data
Help convert existing models or create new models (any UML standard) into semantic models
Ensures that PLS data services to ensure they are fully aligned and support the Data Strategy and the DLC products / assets
Ensure compliance with GMP and regulatory requirements and continuous improvement of quality relevant processes within area of responsibility
Deliver on data strategy priorities and DLC activities in an AGILE manner with appropriate documentation and communication throughout the delivery of servicesLocation - Hyderabad #LI HybridAbout the role:Ensure data curation by applying appropriate standard Quality & Security checks.

• Ensure compliance with GMP and regulatory requirements and continuous improvement of quality relevant processes within area of responsibility. Deliver on data strategy priorities and DLC activities in an AGILE manner with appropriate documentation and communication throughout the delivery of services.

Key Responsibilities:

• Helps onboarding of data assets to the FAIRification process by working with relevant stakeholder, systems to identify data and metadata
• Help creation of Uniform Resource Identifier (URIs) to data
• Help convert existing models or create new models (any UML standard) into semantic models
• Ensures that PLS data services to ensure they are fully aligned and support the Data Strategy and the DLC products / assets

Essential Requirements:

• 3-5 years experience in a Global company as a data steward, engineer, modeler or data scientist
• Business understanding of pharmaceutical industry and data standards. Domain experience in at least one of the following areas - a) Pharma R&D, b) Manufacturing, Procurement and Supply Chain and c) Marketing and Sales. Experience in working in Pharma / Life Science industry strongly preferred
• Understanding of data modeling (conceptual, logical, and physical) using different data modeling methodologies
• Experience on data wrangling including Ingestion, Unification, Anonymization, Search, Master & Meta Data Management and Governance.
• Hand on experience in working with ETL process, and programming/scripting skills (Python) for data preparation and analysis
• Excellent communication and presentation skills with consulting and senior stakeholder engagement experience
• Foundational understanding of semantic web principles, big data ecosystem, knowledge of AWS, AZURE Stack and basics of NLP would be an advantage.

Why Novartis: Our purpose is to reimagine medicine to improve and extend peoples lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here:Youll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook.Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: .Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.Skills Desired Advertising Campaigns, Alteryx, Analytical Thinking, Brand Awareness, Business Networking, Curiosity, Digital Marketing, Email Marketing, Marketing Communications, Marketing Plans, Marketing Strategy, Media Campaigns, Process Documentation, Strategic Marketing

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