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Biostatistics Manager – Data Visualization

India, Hyderabad · Job Posted June 03, 2026
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Job Responsibility

  • Lead and oversee the application of biostatistical methods to analyze and interpret clinical trial data across multiple studies or programs, ensuring scientific rigor and consistency
  • Provide strategic direction and oversight for statistical programming using R and Python, enabling scalable, efficient, and compliant data analysis and reporting solutions
  • Manage and review the development of tables, listings, and figures (TLFs), as well as outputs supporting clinical study reports, publications, and regulatory submissions
  • Ensure compliance with regulatory requirements, industry standards (including CDISC SDTM and ADaM), internal quality processes, and support audits and inspections as needed
  • Collaborate with cross-functional teams to ensure timely delivery of study outputs
  • Identify, prioritize, and implement process improvements, tools, and innovative technologies to advance statistical programming and reporting capabilities
  • Stay current with emerging methodologies, technologies, and regulatory guidelines, and incorporate best practices into team workflows
  • Provide leadership, mentorship, and technical guidance to statisticians and programmers, fostering a culture of continuous improvement and excellence
  • Assist in developing and implementing AI-enabled technologies to streamline statistical workflows and build automated, reproducible reporting pipelines that enhance efficiency, quality, and traceability
  • Manage self and other resources according to priorities
  • Knowledgeable of developments in the field of statistics in drug development
  • Contribute to the review and maintenance of Amgen policies, SOPs, and controlled documents to ensure ongoing compliance and alignment with regulatory standards

Requirements

  • MSc or PhD in Statistics, Biostatistics, or related field
  • 8 years relevant industry experience
  • Proven ability to apply statistical methods in clinical development
  • Strong programming skills in R and/or Python
  • Experience with R Shiny or interactive reporting tools

Nice to have

  • Doctorate degree in Statistics/Biostatistics
  • Experience in machine learning, real world data analytics, electronic health record data analysis, clinical trial simulation or related applications
  • Life-cycle drug development experience
  • Experience working effectively in a globally dispersed team environment with cross-cultural partners
  • Experience in the Obesity Therapeutic Area

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