Principal Statistical Programmer

3 weeks ago

hyderabad, India Novartis Full time

About the role

: The number of New Molecular Entities (NMEs) approvals of potential blockbusters, which Novartis obtained in 2019 alone. We advanced a breath of early programs in our pipeline that addresses significant unmet needs and are looking for passionate and enthusiastic Statistical Programmers with expertise in SDTMs, ADaMs & TFLs, and experience in Regulatory Submissions. As a part of the Statistical Programming unit, you will play a key role in supporting a growing pipeline across multiple therapeutic areas, with emphasis on regulatory submissions. An excellent opportunity to work end-to-end programming from CRF collections through Regulatory submission, you will have an exciting opportunity to learn new technologies (like R) and endorse Statistical Programming as a key contributor in driving the #GO-Digital vision of Novartis.
Key responsibilities:
• Responsible for managing project level activities within Product Lifecycle Services (PLS). Act as the programming functional lead on customers' project teams. Participate in project team meetings. Determine an efficient project programming strategy that utilizes customers' standards and procedures. Develop project-level programming specifications for analysis datasets and pooled datasets for a project.
• Lead the production of statistical outputs for clinical study reports, publications, and market promotions. Ensure the quality control of all programs, specifications and statistical outputs within a study project.
• Ensure that programming-related documents are consistent, and comply with Data Science's and customers' standards, by reviewing case report forms, statistical analysis plans, data structures specifications, and specifications for tables, listings and figures. Archival of project programs and associated documentation.
• Mentor programmers in the functional expertise required for project support. Support the development of, and the training of users in, new programming applications.
• As required, participate in process improvement initiatives or other non-clinical project activities.
• Develop advanced, general-purpose programming functions for deployment across multiple projects. Maintain advanced knowledge of programming languages (e.g., SAS and R).
• Manage the outsourcing of programming activities from Data Science to an approved vendor in accordance with Scientific Services vendor management procedures.

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