Director, Statistical Methodology and Innovation

Director of Stat Methodology role will drive projects developing methodological solutions to statistical innovation problems identified by Data and Quantitative Science (DQS) and the broader Drug Development organization.

Responsibilities

• Active engagement with stakeholders and driving development of statistical methods and research.
• Providing statistical consulting to specific projects.
• Overseeing development of tools and software to implement methodological solutions.
• Mentoring and coaching junior members of the team.
• Drive formulation, development and implementation of innovative novel statistical analysis methods and innovative study designs across therapeutic areas.
• Facilitates discussions, translates scientific questions into statistical terms, and statistical concepts into layman terms.
• Influence stakeholders by communicating effectively the findings of their project-driven research to cross-functional teams; provides interpretation of scientific results in a manner accessible to non-statisticians.
• Function as statistical lead on statistical topics influencing and advising senior leadership on issues that have business impact.
• Continually develop technical knowledge of statistical methodology and build BMS external scientific reputation via publications and presentations.
• Continually enhance knowledge of drug development process, regulatory and commercial requirement.
• Develop more junior stat methodologists by providing mentorship and coaching as well as developing training curriculum for the broader DQS organization.
• Effectively communicate the DQS Mission and Vision in a fashion that generates pride, excitement and commitment within DQS.
• Enable a culture of inclusiveness, respect for diversity, compliance with process and allow for the questioning and challenging of others in a respectful and constructive manner.
• Leadership is a required component of this position – engage with Biostatisticians and other cross-functional team members to drive development of innovative statistical methods for emerging trial design and analytics problems.

Qualifications

• Ph.D. in Statistics, Biostatistics, or Data Science with 9+ years of experience in Pharmaceutical Research.
• Adaptive design; Real-world evidence; Advanced predictive modelling; Machine learning; Decision analysis.
• Ability to summarize technically/analytically complex information for a non-technical audience.
• Demonstrated ability to work in a team environment with good interpersonal, communication, writing, and organizational skills.
• Ability to organize multiple work assignments and establish priorities.

Applicants can request a reasonable workplace accommodation or adjustment prior to accepting a job offer. If you require reasonable accommodations in completing this application or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com.