At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it. Key responsibilities: · Apply statistical techniques to facilitate better decision-making and improve business operation. · Regularly interact with management of different levels in strategy meetings. Contribute to strategic planning to ensure statistically optimized non-clinical development plans and assist in the creation of strategic objectives for regulatory filings. · Provides leadership and statistical SME support for complex data analysis requests, including critical investigations, specification settings, stability analysis, and yield improvement initiatives. Takes accountability for ensuring quality and timely deliverables. · Collaborates with global and site functions to identify areas for improvement in yield, robustness, and quality by applying statistical methods. · Manages multiple studies to ensure consistency and adherence to standards within manufacturing and quality area · Identify opportunities and drive innovation in advanced analytics and AI techniques through process and quality applications. · Act as a scientific and strategic partner to effectively engage with the matrix team in the drug manufacturing process and quality assurance. · Connect and communicate with key stakeholders and the leadership team with statistical work in a clear, logical, complete, and transparent manner to support data-driven decisions. · Prepare statistical courses and provide training to scientists. Mentor junior staff, proactively help with both their technical and career development, and seek general feedback and technical input from colleagues. · Maintain awareness of external trends in advanced analytics and represent BMS at industry forums and conferences. Maintain and expand expertise in various computing tools to leverage internal and external data sets to drive decisions. Examples of such tools include R, Python, and JMP. Continue development of various analysis tools to improve the process. · Contributes to external and internal statistical community of practice. Qualifications: · MS (with 8+ years of experience) or PhD (with 2+ years of experience) in Statistics. · High degree of technical competence and excellent communication skills, both oral and written · Able to manage project timeline and quality of deliverables · Knowledgeable in Bayesian statistics · Able to build strong relationships with peers and cross-functional partners to achieve higher performance. Highly motivated to drive innovation by raising the bar and challenging the status quo · Have strong leadership skills and experience in working/managing a team. · Pharmaceutical or related industry knowledge required, including experience and understanding of drug development and life-cycle management in the regulated environment. · Experience in a cGMP-regulated environment, preferably gained through direct support of commercial manufacturing. · Extensive knowledge of FDA/EMEA cGMPs and other global regulatory compliance guidelines (e.g., ICH) for drug manufacturing, packaging, and distribution. · Proficiency in scientific computing/programming/software (R or Python, JMP) and implementation of advanced statistical analysis, data manipulation, graphing & simulation. We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway. How We Work Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working. 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 [email protected]. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. Candidate Rights BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. For roles based in Los Angeles County only: If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ 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 this posting is missing required information required by local law or incorrect, contact BMS at [email protected] with the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account. R1607603 : Principal Statistician Data Privacy Link We’re creating innovative medicines for patients fighting serious diseases. We’re also nurturing our own diverse team with inspiring work and challenging career options. No matter the role, each one of us makes a contribution. And that makes all the difference.

Principal Statistician.

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