The company is seeking a Senior Shiny Developer / Full-Stack Data Scientist to lead end-to-end data pipelines, build interactive Shiny applications, and implement best practices in data engineering for clinical and regulatory submissions.
Requirements
- Senior-level experience in Shiny application development and full-stack R programming.
- Strong SAS experience with CDISC SDTM/ADaM knowledge; experience transitioning SAS workflows to R.
- Fluency in R for clinical data processing, analysis, and submissions.
- Experience with data pipelines, engineering, and workflow automation (e.g., HPC, Linux, scheduling).
- Experience with Posit (RStudio) environment and associated deployment tools.
- Ability to implement reproducible, validated, and well-documented code.
- Python experience, including working with large data sets or LLMs
Responsibilities
- Design, develop, and maintain interactive Shiny applications for clinical data analysis and visualization.
- Develop and manage data pipelines and engineering workflows, ensuring robust, scalable, and reproducible processes.
- Collaborate with cross-functional teams on clinical trial data, including CDISC SDTM/ADaM datasets and pharmacometric modeling outputs.
- Implement best practices for code validation, testing, and governance in R and SAS.
- Leverage HPC, Linux, and Python environments for large-scale data processing and optional LLM-based analytics.
- Support regulatory submissions by preparing reproducible analyses and following SOPs.
- Contribute to the development and maintenance of internal R packages, Pharmaverse tools (Admiral), and submission-ready pipelines.
Other
- Ability to work independently while collaborating effectively with cross-functional teams.
- Excellent communication skills, able to explain complex technical concepts to non-technical stakeholders.
- Focus on senior-level ownership: proactive, detail-oriented, and committed to best practices.
- Strong analytical and problem-solving skills.
- Mentor junior developers and promote best practices in coding, data management, and documentation.
