Associate Director, Statistical Programming - R Implementation

Daiichi Sankyo; Basking Ridge (NJ); On-site; USD 171,000 - 257,000; Full time

Job summary

Daiichi Sankyo, Inc. is seeking an Associate Director, Statistical Programming - R Implementation in the United States to lead R programming system development and drive R package and Shiny app initiatives within DS.

The role requires extensive experience in R programming and SAS in clinical trials, CDISC SDTM/ADaM, and collaboration with cross-functional teams. Travel up to 10% is expected; the position offers impact on external collaborations and internal innovation.

Qualifications

• 10+ years of experience in R programming and Shiny app development.
• Advanced knowledge of R, SAS, and clinical trial programming.
• SDTM/ADaM experience and their implementation in trials.
• Strong statistics background and drug development knowledge.
• Travel up to 10% of the time.

Responsibilities

• Lead the R programming system development and act as SME.
• Provide guidance and lead UATs.
• Develop R packages and Shiny apps for data surveillance.
• Collaborate across functional groups to advance R capabilities.
• Represent DS externally for R technology and capabilities.

Skills

R programming

Shiny app development

Statistical programming

SAS programming

Cross-functional collaboration

UAT leadership

Data surveillance

Education

Bachelor's Degree in science/technical field

Master's Degree preferred

Tools

R

SAS

Shiny

Job description

Associate Director, Statistical Programming - R Implementation

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Language View Profile Employee Login Job Description Job Alerts Link Job Title: Associate Director, Statistical Programming - R Implementation Job Requisition ID: 2098 Posting Start Date: 8/24/26

At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society.

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.

Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Salary Range:

USD$171,120.00 - USD$256,680.00

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