Senior Manager RWE Biostatistician

Position Summary

The RWE Analyst is a key member of cross-functional teams and RWE-CoE within GBDS. This role will perform the curation, transformation, and analysis of complex healthcare datasets to inform evidence generation, support developing clinical program design, clinical trial execution, and other data-driven decision-making activities. The RWE Analyst will support in-house real-world evidence (RWE) trials to generate insights that enhance clinical and regulatory strategies.

The ideal candidate will have deep expertise in working with RWD (e.g., claims, EMR, registries), RWE trials experience, strong analytical and communication capabilities, and a collaborative mindset. This is an on-site role requiring 50% office time in Uxbridge.

• Curate and assess the quality of real-world data (RWD) assets to ensure their suitability and understanding for intended use.
• Design and implement data pipelines to transform raw RWD into datasets ready for analysis.
• Collaborate with cross-functional teams—including Biostatistics, Data Science, HEOR, Epidemiology/Safety, Clinical, and IT—to define data requirements and analytical strategies.
• Conduct exploratory data analyses, identify patient cohorts, and perform data summary analytics to support real-world evidence (RWE) generation.
• Participate in the design of RWE studies, including the development of methodologies, data analysis, interpretation, and reporting of study results.
• Author or review study documents such as protocols, statistical analysis plans, study reports, publications, and study-level specifications.
• Develop and maintain documentation detailing data sources, transformations, and analytical methods.
• Ensure all work complies with data governance, privacy, and regulatory standards.
• Stay up to date with industry and regulatory trends, tools, and best practices in RWD/RWE analytics.
• Continually expand technical knowledge of statistical considerations in real-world evidence generation to ensure high-quality study design and analysis.
• Enhance understanding of the drug development process, as well as regulatory and commercial requirements.

• Master’s or PhD in Epidemiology, Biostatistics, Data Science, Health Informatics, or a related field.
• 3+ years of experience working with real-world healthcare data (claims, EMR, registries, etc.).
• 2+ years of experience in the pharmaceutical industry (e.g., Pharma, CRO, Biotech) and clinical trials.
• Proficiency in SAS, R, Python, or similar tools for data manipulation and analysis. AI/ML knowledge is a plus.
• Good understanding of industry RWD vendor databases.
• Experience with RWD data curation, engineering, exploration, and quality control in large-scale datasets.
• RWD trial design and analysis experience.
• Ability to communicate complex real-world data concepts to non-technical stakeholders.
• Ability to work successfully within cross-functional teams and manage multiple priorities.
• Strong understanding of healthcare industry regulatory compliant data standards and regulatory requirements; clinical trial design knowledge is preferred.

On-site Protocol: BMS has an occupancy structure that determines where an employee is required to conduct their work. Site-essential roles require 100% of shifts onsite. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite. For field-based and remote-by-design roles, travel to visit customers, patients or business partners and attend meetings is an essential job function.

BMS is dedicated to equal opportunity in employment and to providing reasonable accommodations to applicants upon request. For accessibility information, please consult our EEO statement and privacy policies at the careers site. Any data provided in connection with role applications will be processed in accordance with applicable data privacy policies and regulations.