Job Objective (Primary responsibility):

1.    Collaborate with global teams and perform R programming activities, ensure seamless execution of project deliverables.

2.    Contribute to DS R programming: Act as R programming SME to execute, maintain, update, and develop R programs that support the development of SDTM, ADAM, Reports and R Shiny applications on multiple projects.

Specific Responsibilities (Actions to achieve the Job Objective):

1.    Collaborate with global team to perform R programming activities to support Biometrics analysis and reporting, such as R shiny apps for data surveillance, visualization, modeling and simulations, and safety

signal detection. Responsibilities include:

a.    Contribute to the development, maintenance, update and validations of R programs and/or shiny apps. Identify and build the use cases and process/resources to guide the implementations.

b.    Update and execute R shiny apps at study level. Publish shiny apps for study or against integrated database.

c.    Gain a thorough understanding of the R Shiny applications developed in-house and utilize the global modules for deploying Shiny apps across multiple studies.

2.    Work with global R Programming leads to contribute to building Innovative solutions through R Shiny.

3.    Ensure compliance with regulatory requirements and best practices in R programming and data analysis.

4.    Stay current with advancements in R programming, data science, and relevant technologies. Provide training to team members as needed.

Competency:

1.    Previous experiences in R programming area, involved in R and/or Shiny app development or implementation.

2.      Advanced working knowledge of all aspects of the R and SAS programming language used in clinical

trials programming.

3.      Solid knowledge of new advanced statistical methods using R preferred.

4.      A strong understanding and hands-on experience with clinical trial data is highly preferred.

5.      Proficient working knowledge of CDISC SDTM and ADaM, and experiences of implementation in clinical trial analysis preferred.

6.      Understanding of statistical concepts in support of analyses and reporting of clinical trials.

7.      Oncology knowledge of drug development and regulatory authority’s requirements preferred.

8.      Strong communication and interpersonal skills, with the ability to collaborate effectively with global teams.

9.      Accountable, dedicated, persistent, and flexible.

Education:

BS or MS or equivalent degree in statistics/biostatistics, mathematics, computer science or related discipline.

Experience:

·      Minimum 4 years and above for MS and above degree, minimum 6 years for BS degree

Language:

Excellent language skills in both English and Chinese (fluent in verbal and written).

Computer Level:

1.    Proficient R programming skills required, SAS programming skills preferred.

2.    Experience with cloud-based computing platforms

3.    Familiar with version control systems and collaborative platforms is a plus (git/github)