Senior Manager, Data Research

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits.

This is work that transforms the lives of patients, and the careers of those who do it.

Position Purpose

As part of the Real-world Data Research (RWDR) team, you will get the opportunity to work with a collaborative team in an inclusive and supportive environment.

You will be an individual contributor responsible for performing non-interventional research projects in support of key customer groups including medical and health economics and outcomes research (HEOR) and others for International Markets (Europe, APAC and rest of world).

Project work includes identification of appropriate data sources, input into the study design, overseeing programming, analysis and summary of data and collaboration with stakeholders on interpretation and presentation of results.

You will have the opportunity to contribute towards team/department initiatives with goals of optimizing and innovating RWD research.

Key Responsibilities

• Conduct thorough and careful analysis of data, including:
  • Overseeing programming of the appropriate statistical analyses (including performing programming).
  • Delivering results to customers in appropriate formats.
  • Assisting with follow-up questions and interpretation of results.
• Assist with the identification of appropriate data sources for the research objectives, acquiring and storing the data for the project.
• Actively engage with customers on study concept development, protocol and statistical analysis plan (SAP) writing, and dissemination (e.g., abstracts, manuscripts).
• Communicate the results of analyses conducted effectively orally and in writing
• Manage complex work environment, balancing demands from multiple customers to execute projects.
• Make sound scientific decisions based on a balance of data, analysis, and experience
• Work seamlessly in flexible manner across diverse therapeutic areas and assets, study designs and data sources.

Qualifications & Experience

• Advanced degree in a quantitative discipline such as biostatistics, epidemiology or a related field.
• Pharmaceutical and/or Epidemiology/ Outcomes Research experience.

Required Knowledge and Competencies

• Deep understanding of secondary and/or primary patient data sources and demonstrated ability in using such data sources for real-world research and analysis purposes.
• Demonstrated abilities to analyze observational data for pharmaco-epidemiology, outcomes research, and market research.
• Ability to effectively manage research projects.
• Ability to effectively communicate a study’s objectives, methods, and findings.
• Proficient in R programming to execute these studies; ability to program more advanced analytics and use of Github, is a plus.
• Ability to write (or critically review) the scientific content and analytical sections of protocols, statistical analysis plans, final reports and dissemination.
• Demonstrated interest in and working knowledge of AI tools (e.g., Claude, ChatGPT, Copilot) to support research activities.
• Ability to apply statistical methods to real-world studies (e.g., survival analysis, logistic/multivariate regression); knowledge on machine learning methods (e.g., clustering, prediction, NLP) is a plus.

#LI-Hybrid

We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.

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