Associate Director, Biostatistics

Responsibilities The Associate Director, Biostatistics has sufficient experience working as a statistician in the pharmaceutical industry to independently perform and lead statistical work within a project, an indication within a more complex project. This individual is able to lead, and direct biostatistics work either in house or partnering with CROs to ensure delivery to quality and time. You will be responsible for: For a project or indication in clinical or preclinical therapeutic areas Leading the delivery and oversight on multiple studies/indication within a project, potentially as a Global Project Statistician for a standard drug project Contributing to statistical methodological advances Lead the statistical thinking and contributions to the delivery of studies, development plans, regulatory strategy, health technology assessment and/or commercial activities Direct project work, including statistical staff and/or CRO partners, to ensure delivery to standards, quality, and time Develop design options and provide high quality decision support to enable the business to make informed decisions about a study or project Quantify the benefit, risk, value, and uncertainty of the emerging asset/product profile Investigate and apply novel statistical approaches for relevant statistical issues and/or regulatory guidance and/or value demonstration, including modelling and simulation Leverage standardization to maximize global data integration and interpretability Mentor/coach and support the education and training of statistics staff The duties of this role are generally conducted in an office environment. As is typical of an office-based role, employees must be able, with or without an accommodation to use a computer; engage in communications via phone, video, and electronic messaging; engage in problem solving and non-linear thought, analysis, and dialogue; collaborate with others; maintain general availability during standard business hours. Qualifications 3 years’ experience and an MSc/PhD in Statistics, Mathematics (containing a substantial statistical component), or recognized equivalent to stats MSc Strong knowledge of programming in R and/or SAS Knowledge of the technical and regulatory requirements related to the role Excellent communication skills, and ability to build strong relationships Flexible, well-organized, and possess the ability to work well under pressure Preferred Qualifications PhD in Statistics/Biostatistics is preferred Project management skills Proficiency in SAS and R languages Knowledge of Bayesian statistics from theory to computation is a plus Equal Employment Opportunity Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form. #J-18808-Ljbffr