Full-Stack Data Scientist

full-time

remote from anywhere in the U.S.

About The Role

We are seeking a highly skilled Senior Shiny Developer / Full-Stack Data Scientist with a strong background in SAS and CDISC standards who has since transitioned to R-based development. The ideal candidate is comfortable leading end-to-end data pipelines, building interactive Shiny applications, and implementing best practices in data engineering for clinical and regulatory submissions.

Key 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.
• Mentor junior developers and promote best practices in coding, data management, and documentation.

Required Qualifications

• 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.

Nice-to-Have / Optional

• Experience with GxP
• Experience using Pharmaverse/admiral
• Python experience, including working with large data sets or LLMs
• Experience in regulatory submissions or R-based SOPs
• Experience with interactive dashboards for exploratory data analysis

Key Skills & Attributes

• Strong analytical and problem-solving skills.
• 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.