Company Name:-
Novartis

Job Location:-
Hyderabad, Telangana

Job Summary:-
20 years of untapped data across the bio pharma value chain waiting to be explored.

The digital revolution is changing everything, especially in pharmaceuticals, and Novartis has embraced a bold strategy to drive a company-wide digital transformation.

With this mission, we are setting up a Data as a Service team at Novartis Hyderabad, which would work with the Chief Digital Office, Novartis Business units and industry leading technology partners, to drive the execution of Novartis’ data strategy , turning its rich data resources into real strategic assets to drive actionable insights across the organization.

This ambition is one of key pillars in the broader digital transformation happening at Novartis to be a ‘medicines and data science company.

Your Responsibilities

Your responsibilities include, but not limited to:
Bring deep domain understanding in Commercial operations, Sales & Marketing.

Experience in working in Pharma / Life Science industry is strongly preferred
Collaborate with business stakeholders, data scientists and IT teams to create and implement world class data products and solutions
Can act as a hands-on engineer in curating data, onboarding data assets to the FAIRification process and managing data quality and standards
Brings strong understanding of enterprise approved schema, tools and platforms and can leverage them to deliver high quality clean and linked data across projects
Manage quality and consistency of NBS CONEXTS data services delivery to all stakeholders
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 servicesMinimum requirements
What You’ll bring to the role:
Masters/ PhD in Computer Sciences / IT or other quantitative sciences7+ 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.

Ex

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