Senior Manager, Biostatistics

About the role

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.

Responsibilities

• Collaborates in design of clinical study including methodology, data analysis & interpretation, and reporting of study results.
• Authors and/or reviews protocol synopsis, protocol, statistical analysis plans, case-report forms, clinical study reports, associated publications, and other study level specification documents with minimum supervision.
• Performs and/or validates statistical analyses, advise ways to maximize clarity of data display.
• Communicates results to cross-functional teams, provides data interpretation in study documents such as clinical study reports, and publications.
• Translates scientific questions into statistical terms and statistical concepts into layman terms.
• Compliant with BMS processes and SOPs, adherence to global and project standards within an indication or therapeutic area and responsible for quality of deliverable.
• Continually develops technical knowledge of statistical methodology and how it is appropriately applied in trial design and data analysis for clear, concise, high-quality results.
• Continually enhances knowledge of drug development process, regulatory and commercial requirement.
• Develops & advises team members.
• Effectively communicates the DQS Mission and Vision in a fashion that generates pride, excitement and commitment within DQS.

Qualifications & Experience

• Fresh PhD with 3+ years’ experience or MS with 5+ years’ experience in statistics or biostatistics or related scientific field with clinical trials, drug development, pharmaceutical industry or healthcare experience.
• Proficiency in scientific computing/programming (SAS, R or Python) and implementation of advanced statistical analysis, data manipulation, graphing & simulation.
• Good interpersonal, communication, writing and organizational skills.
• Ability To: learn regulatory requirements & clinical trial design, data analysis and interpretation, work successfully within cross-functional teams, organize multiple work assignments and establish priorities.
• Experience in standard and advanced statistical methods is preferred.
• Good understanding of regulatory requirements & clinical trial design is preferred.