Director, Statistical Methodology and Innovation GB R1603258 Posted ago

Position: Director, Statistical Methodology and Innovation GB R1603258 Posted 12 hours ago
## Director, Statistical Methodology and Innovation Uxbridge - GBFind out how well you match with this job
** 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:  
** Position Summary
** 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.

Key responsibilities of this position are focused on 4 areas:1) active engagement with stakeholders and driving development of statistical methods and research2) providing statistical consulting to specific projects3) overseeing development of tools and software to implement methodological solutions4) mentoring and coaching junior members of in the team.

There will be an ample opportunity for collaboration with cross-functional teams on long-term statistical innovation objectives. This is not 100% managerial position: it blends matrix leadership with technical work and research as an individual contributor.  Leadership is a required component of this position as they will engage with Biostatisticians and other cross-functional team members to drive development of innovative statistical methods for emerging trial design and analytics problems.#

** Key Responsibilities
*** Drives 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.
* Influences stakeholders by communicating effectively the findings of their project-driven research to cross-functional teams; provides interpretation of their scientific results in a manner accessible to non-statisticians.
* Functions as statistical lead on statistical topics influencing and advising senior leadership on issues that have business impact
* Continually develops technical knowledge of statistical methodology and build BMS external scientific reputation via publications and presentations.
* Continually enhances their knowledge of drug development process, regulatory and commercial requirement
* Develops more junior stat methodologists by providing mentorship and coaching as well as developing training curriculum for the broader DQS organization.
* Effectively communicates the DQS Mission and Vision in a fashion that generates pride, excitement and commitment within DQS.
* 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
*** Ph.D. in Statistics/Biostatistics/ Data Science with 9+ years of experience in Pharmaceutical RD or academia/government
* Solid understanding of drug development with proven track record of leading statistical innovation
* Deep expertise in one of the following scientific topics (with proven publication records) and working knowledge of the others:  Bayesian Methods, Adaptive Design, RWE, 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…