Senior Statistical Programmer

Summary

• Responsible for all statistical programming/data review reporting and analytics development aspects of assigned studies or project-level activities. Acts as a key contributor in ensuring that drug-development plans are executed efficiently with timely and high quality deliverables.
  
  

About The Role

Major accountabilities:

• Responsible for planning, monitoring, documenting of projects and analysis of information -Co-ordinate activities of all programmers either internally or externally assigned to the study/project work -Contribute to project level standards -Review and discuss data structures and participate in data review activities.
• Responsible for development of programming specifications of analysis datasets or user requirement documentation -Contributes to some cost center goals and objectives -Broadens technical knowledge via departmental activities, literature reading and experiential learning.
• May train junior.
• new team members -Skilled in collaboration across project team(s) -Responsible for quality control and audit readiness of all assigned statistical programming deliverables as well as accuracy and reliability of statistical analysis results -Reporting of technical complaints / adverse events / special case scenarios related to Novartis products within 24 hours of receipt -Distribution of marketing samples (where applicable)
  
  

Key Performance Indicators

• Achieve high level of quality, timeliness, cost efficiency and customer satisfaction across functional activities and deliverables.
• Adherence to Novartis policy and guidelines -Customer / partner feedback and satisfaction
  
  

Minimum Requirements

Work Experience:

• Biostatistics.
• Clinical Research Phases.
• R&D Portfolio Management.
• Innovative & Analytical Technologies.
• Regulatory Submissions.
• Data Management & Systems.
• Statistical Programming.
• Clinical Trial Design, Data Review & Reporting.
  
  

Skills

• Clinical Trials.
• Computer Programming.
• Data Analysis.
• Programming Languages.
• Reporting.
• Statistical Analysis.
  
  

Languages

• English.
  
  

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