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Senior manager, real-world evidence (rwe) biostatistician

Uxbridge
Bristol-Myers Squibb
Biostatistician
Posted: 29 May
Offer description

Working with Us

Challenging. Meaningful. Life-changing. Those arent words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. Youll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Working with Us

Challenging. Meaningful. Life-changing. Those arent words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. Youll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more careers.bms.com/working-with-us .

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. In addition, the RWE Analyst will be supporting 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

Key Responsibilities


* 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.

Qualifications & Experience

* Masters 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 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 database.
* 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
* Ability to organize multiple work assignments and establish priorities
* Strong understanding of healthcare industry regulatory compliant data standards.
* Good understanding of regulatory requirements & clinical trial design is preferred.

If you come across a role that intrigues you but doesnt perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers

With a single vision as inspiring as Transforming patients lives through science™, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

Supporting People With Disabilities

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. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.

Bristol Myers Squibb is Disability Confident - Employer

A UK Government scheme

Candidate Rights

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https //careers.bms.com/fraud-protection.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.

R1602485 Senior Manager, Real-World Evidence (RWE) Biostatistician



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