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Senior Analyst - Trial Analytics, Insights & Planning (TAIP)

Bristol Myers Squibb
Full-time
Remote friendly (Princeton, NJ)
United States
Clinical Research and Development

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Role Summary

The Senior Analyst in Bristol Myers Squibb's Trial Analytics, Insights, and Planning (TAIP) unit provides internal consulting support to accelerate drug development. Embedded in a clinical trial team, you will own analytics workstreams such as trial forecasting, feasibility analyses, and protocol analytics, while building domain knowledge across scientific and analytical areas over time. The role offers two tracks (Analytical and Scientific) with exposure to both domains.

Responsibilities

  • Own key trial-level analytics workstreams (e.g., enrollment forecasting, feasibility analysis, protocol input)
  • Translate structured study requirements into analytical deliverables in collaboration with more senior TAIP colleagues
  • Operate within a specific clinical trial context, gaining exposure to operational strategy, protocol logic, and real-world trial planning challenges
  • Build therapeutic area knowledge over time, contributing to more targeted and scientifically grounded analyses
  • Ensure accuracy, consistency, and clarity in data models, dashboards, and insights shared with the study team
  • Collaborate across geographies, coordinating with other analysts and team members globally
  • Contribute to cost-related analyses, such as country mix optimization and study design trade-offs
  • Support study optimization by analyzing site and patient burden, competitor activity, and external data sources
  • Coordinate with field-based colleagues to integrate local insights into feasibility and planning analytics
  • Utilize trial analytics platforms and tools to generate, structure, and communicate data-driven insights
  • Support analytics that may inform clinical supply forecasting or site-level supply considerations
  • Apply critical thinking to analyze complex data, challenge assumptions, and generate strategic, evidence-based recommendations

Qualifications

  • Education: Advanced degree (e.g., MSc, MPH, PharmD, PhD, MBA) in a relevant field
  • Experience: 3-6+ years in consulting, healthcare analytics, life sciences strategy, or clinical trial planning and delivery; proven ability to manage and deliver complex analytical projects in fast-paced environments
  • Skills: Excellent communication and structured problem-solving skills; strong MS Office (Excel, PowerPoint) skills; interest in developing deeper expertise in therapeutic areas and clinical trial analytics

Education

  • Advanced degree as listed in Qualifications