Senior Manger, Biostatistics
Bristol Myers SquibbAbout the role
Working with Us
Challenging. Meaningful. Life-changing. Those aren’t 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. You’ll 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: Senior Manager, Biostatistics
At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, cell therapy, immunology and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.
Position Summary
The Senior Manager of Biostatistics is a member of cross-functional development teams and contributes to trial design, protocol development, analysis planning, interpretation of results, and preparation of regulatory submissions. These individuals develop collaborative relationships and work effectively with the Biostatistics Lead, and other cross functional team members. The Sr. Manager will...
Serve as a study statistician supporting the growing neuroscience portfolio.
Contribute to drug development in psychiatric disorders and Alzheimer’s disease
Candidates with previous Neuroscience experience will be considered priority.
Key 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 under some 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 GBDS Mission and Vision in a fashion that generates pride, excitement and commitment within GBDS.
Enables a culture of inclusiveness, respect for diversity, compliance with process and allows for the questioning and challenging of others in a respectful and constructive manner.
Qualifications & Experience
Fresh PhD or MS with 2+ 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.
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