岗位职责：

A. R packages and Shiny apps

- Develop R packages and Shiny apps by contributing to the strategy for R programming innovation to support BDM analysis and reporting, including Shiny applications for data surveillance, visualization, modelling and simulation, and safety signal detection. Lead the development and validation of R packages and/or Shiny apps. Identify and prioritize use cases and define the processes and resource needs required to guide implementation. Lead, advocate for, and nurture R programming innovation globally within DS. Represent programming innovation outside DS to strengthen the company’s reputation and profile.

- Develop study-specific Shiny apps or deploy Shiny apps at the study level. Publish Shiny apps for individual studies and/or across integrated databases.

B. Shared Responsibilities (Leadership, Standards, Quality)

- Evaluates and develops indication-level standards, conventions, systems and best practices to improve efficiency and quality. Ensures effective implementation of, and compliance with, global standards and processes; provides practical, experience-based feedback to support continuous improvement of global standards and processes.

- Leads or participates in programming process-improvement initiatives, including process development within Biostatistics and Data Management. May develop or update standard operating procedures (SOPs).

- Ensures close collaboration with functional leads across Biostatistics, Data Management, Clinical Operations, Clinical Sciences, Pharmacovigilance, Regulatory Affairs, and other stakeholders.

- Develops and maintains required programming macros and/or tools to effectively support programming needs.

- Train and mentor junior programmers to ensure high-quality deliverables, while providing technical guidance and sharing knowledge.

资历要求：

1. BS or MS or equivalent degree in statistics/biostatistics, mathematics, computer science or related discipline.
2. Minimum 7 years of experience.
3. Excellent language skills in both English and Chinese (fluent in verbal and written).
4. Solid oncology knowledge of drug development and in-depth knowledge of regulatory authority’s requirements (SAS-focused).
5. Previous experiences in R programming area, involved in R and/or Shiny app development and implementation (R-focused).
6. Excellent in either SAS (SAS-focused) or R (R-focused) is required; proficiency in both is a strong plus, other programming skills (e.g., Python) is preferrable.
7. Advanced working knowledge of CDISC SDTM and ADaM, and extensive experiences of their implementation in clinical trials analysis
8. Advanced understanding of statistical concepts in support of analyses and reporting of clinical trials
9. Strong communication and interpersonal skills, with the ability to collaborate effectively with global teams.
10. Accountable, dedicated, persistent, and flexible.
11. Strong capabilities of work prioritization and deliver results with parallel multiple tasks.
12. Advanced SAS/R programming skills, and with good command of computer.