Associate Director, Biostatistics

Bristol Myers Squibb3 Locationsonsite$218k–$264kView the original posting at Bristol Myers Squibb ↗

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 Summary The Associate Director 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. With appropriate experience, the Associate Director of Biostatistics can have responsibilities for supporting a particular indication of an asset. These individuals develop collaborative relationships and work effectively with the Biostatistics indication/asset Lead, and other cross functional team members. Key Responsibilities Collaborates in design of innovative and efficient clinical trials, including the selection of study population/endpoints to address study objectives, and contributes to project development strategy Defends protocols and analysis plans at internal governance reviews and provides independent reviews of complex protocols. Independently authors and/or reviews protocol, statistical analysis plan, clinical study reports, associated publications, and other study level documents Presents summary data and analyses results, in a clear, concise, complete, and transparent manner Provides statistical support and leadership to address health authority request, publication, presentation, and other public release of information Manages multiple studies to ensure consistency and adherence to standards within an indication or therapeutic area Applies extensive knowledge of statistical / clinical trials methodology as it relates to clinical development Invests in developing knowledge outside of traditional statistical expertise in the clinical, regulatory and commercial environments with demonstrated application to study design. Effectively engages as a matrix team member on project teams, to act as a scientific and strategic partner in the drug development process Compliant with BMS processes and SOPs, adherence to global and project standards within an indication or therapeutic area and responsible for quality of deliverable Contributes to external and internal statistical community of practice Develops & advises team members Effectively communicates the DQS Mission and Vision in a fashion that generates pride, excitement and commitment within DQS. Applicable to people managers Effectively engages as an employee advocate and management coach/mentor to team members - both internally and externally Provides leadership to empower and develop the team. Provides guidance to employee's development plans and carries out performance review and feedback. develops performance metrics for staff. Qualifications & Experience PhD (6+ years’ experience) or MS (8+ 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. Great interpersonal, communication, writing and organizational skills Expertise in statistical/clinical tr

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