Associate Director, Statistical Programming - R Implementation

Responsibilities

• Lead/contribute to DS R programming system technology development:
• Lead/contribute to the R programming system development.
• Act as R programming SME and functional representative of R systems and infrastructure to identify system and technology development needs and to define functional requirements.
• Provide technical guidance to the development.
• Lead and may approve UATs.
• Lead/contribute to resolutions of BDM departmental (internal and external) R related analysis and programming technical issues and difficulties.
• Lead the trainings and implementations of R system and programming technology.
• Developing R package and Shiny apps:
• Contribute to strategy of R programming innovation to support BDM analysis and reporting, such as R shiny apps for data surveillance, visualization, modeling and simulations, and safety signal detection.
• Lead the development and validations of R package and/or shiny apps. Identify and build the use cases and process/resources to guide the implementations.
• Lead, advocate and nurture R programming innovation globally within DS.
• Represent the programming innovation outside of DS and establish the company reputations and images.
• Develop study specific shiny apps or execute shiny apps at study level.
• Publish shiny apps for study or against integrated database
• Representing cross-functional collaborations on R capabilities and systems:
• Collaborate with RD non-BDM and non-RD R user group or developers.
• Collaborate with biostat innovation to enhance BDM overall R capabilities and implementations.
• Collaborate with CSPV to enable/effectively support safety signaling detections and across compounds safety reviews (i.e., ILD).
• Collaborate with Clinical Development and Clinical Sciences for effective data surveillance

Qualifications