Basking Ridge Associate Director, Statistical Programming R Implementation NJ 07920

Job Summary

The purpose of this job is to provide statistical programming technical support related to R programming, R related system and technology. Develop and drive R programming, package, and R shiny app development. Lead the R programming implementations. Represent programming in DS external collaborations on R technology and capabilities.

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

Education Qualifications

• Bachelor's Degree an accredited institution in a science or in a technical field such as computer science or mathematics required Master's Degree preferred

Experience Qualifications

• 10 or More Years Bachelor’s degree with minimum 10 years (or Master’s degree with minimum of 7 years) proven experience required
•  7 or More Years Previous experiences in R programming area, involved in R and/or Shiny app development and implementation. required
•  Advanced working knowledge of all aspects of the R and SAS programming language used in clinical trials programming. required
•  Advanced working knowledge of CDISC SDTM and ADaM, and extensive experiences of their implementation in clinical trials analysis required
•  Advanced understanding of statistical concepts in support of analyses and reporting of clinical trials. required
•  Having knowledge of all phases of drug development, including early and late phase clinical development and submission required
•  Having solid background of applied statistics required
•  Solid knowledge of new advanced statistical methods using SAS or R required
•  Advanced knowledge in database structures and set-up required

 
Travel Requirements
Ability to travel up to 10% of the time.