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Eli Lilly is seeking a Senior Statistical Programmer to join its Research Labs in Bengaluru. This role is part of Lilly's global clinical development organization, supporting the discovery and delivery of life-changing medicines.
Key Responsibilities:
Statistical Trial Analysis: Lead programming activities for clinical trial data analysis, including creation of standard datasets (SDTM) and analysis datasets (ADaM). Generate Tables, Listings, and Graphs (TLGs) and support regulatory documentation such as Define, RGs, and CRT packages.
Collaboration: Work with statistical colleagues, study personnel, and data management teams to develop statistical analysis plans, select appropriate statistical methods, and ensure data quality assurance.
Analysis & Methodology: Conduct statistical analyses using established plans, maintain proficiency in SAS programming and statistical methodology, and stay current with emerging analytical techniques. Justify method selection and implement analysis plans effectively.
Quality Assurance: Conduct peer review of work products from statistical colleagues to ensure accuracy and compliance.
Communication: Collaborate on writing reports and communicating study results through regulatory submissions, manuscripts, and direct stakeholder engagement. Respond to regulatory queries in coordination with statistical teams.
Therapeutic & Systems Knowledge: Develop understanding of relevant disease states to enhance customer focus and collaboration. Stay informed of technology advances and ensure replication of tools and systems.
Regulatory Compliance: Perform all work in compliance with corporate, medical, local, and departmental policies, procedures, and training requirements.
About Lilly: Headquartered in Indianapolis with over 50,000 employees globally, Eli Lilly is dedicated to discovering and delivering medicines that improve patient outcomes. The Bengaluru research function works alongside global teams to advance the science behind tomorrow's medicines through product R&D, computational modeling, and data-driven experimentation.
Requirements: The posting does not explicitly state years of experience, education level, or specific certifications required. However, the Senior/Principal classification and scope indicate expectation of substantial SAS programming expertise, statistical methodology knowledge, clinical trial experience, and ability to lead peer review and collaborate with senior colleagues.
