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About the Role

As part of the Real-world Data Research (RWDR) team, you will perform non-interventional research projects supporting key customer groups including medical, health economics and outcomes research (HEOR) for International Markets. You will contribute to team/department initiatives focused on optimizing and innovating RWD research.

Responsibilities

Oversee programming of appropriate statistical analyses, including performing programming.
Deliver results to customers in appropriate formats.
Assist with follow-up questions and interpretation of results.
Identify appropriate data sources for research objectives, acquiring and storing the data.
Engage with customers on study concept development, protocol and statistical analysis plan (SAP) writing, and dissemination.
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 a flexible manner across diverse therapeutic areas and assets, study designs and data sources.

Requirements

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

Skills

R programming
Github
Machine learning methods (e.g., clustering, prediction, NLP)

Location

International Markets (Europe, APAC and rest of world)

Work Type

Hybrid

Experience Level

Senior Manager

Education Level

Advanced degree in a quantitative discipline

Benefits

Opportunities for growth
Supportive environment
Inclusion
Wellbeing
Flexibility
Comprehensive benefits

About the Company

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.

Equal Opportunity

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles.
Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer.
Bristol Myers Squibb is Disability Confident – Employer
BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.