Full-Stack Data Scientist

Atorus; New Jersey; Remote; USD 100,000 - 130,000; Full time

Job summary

A data solutions company is seeking a Senior Shiny Developer / Full-Stack Data Scientist to lead clinical data engineering projects. This remote role involves developing interactive Shiny applications, managing data pipelines, and ensuring quality data governance. The ideal candidate will have strong experience in R, SAS, and CDISC standards, along with the ability to mentor junior developers.

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.
• Experience with data pipelines, engineering, and workflow automation.

Responsibilities

• Design, develop, and maintain interactive Shiny applications for clinical data analysis.
• Develop and manage data pipelines ensuring robust and scalable processes.
• Collaborate on clinical trial data including CDISC SDTM/ADaM datasets.

Skills

Shiny application development

R programming

SAS

CDISC SDTM/ADaM

Data pipelines and engineering

Linux

Tools

RStudio

Python

Job description

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.